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Hello, I am looking for a technical code review of a Python-based equity index construction and total return calculation engine. The project consists of: Fundamental data processing and scoring (winsorization, sector normalization, percentile filtering) Portfolio construction with multiple constraints (sector caps, regional caps, individual weight caps) Iterative weight redistribution logic Total Return engine with dividend reinvestment and divisor methodology Annual rebalance + monthly drift control Scope of work: Verify mathematical correctness of scoring and normalization. Validate weight construction logic and constraint enforcement (ensure total weight = 100% after caps and redistribution). Review Total Return calculation: dividend reinvestment divisor adjustments rebalance mechanics ...

The project centers on a manually-entered sales spreadsheet that requires a full Excel-based analysis focused on monthly sales performance. I will supply the raw rows exactly as they come from our internal forms; they first need cleaning (duplicate checks, consistent date formatting, error spotting) before any insights can be trusted. Once the data is reliable, the workflow should move into sorting, filtering, and creating pivot tables that break revenue down by month, product line, and any other field that emerges as useful. Clear, professional charts—line, clustered column, or a pivot chart—must then visualise month-over-month results so trends and anomalies are unmistakable at a glance. Deliverables • Cleaned Excel file with all transformation steps traceable ...

Quiero un archivo maestro en Excel que consolide mis ventas históricas por producto y por cliente. Cada mes recibiré varios archivos de mis distribuidores; sus hojas comparten la misma información clave, pero el formato puede variar ligeramente entre uno y otro. Lo que necesito exactamente: • Una estructura de base de datos dentro de Excel (tablas o Power Query) que me permita importar mensualmente esos archivos externos y actualizar los registros sin perder histórico. • Columnas estandarizadas para fecha, código-producto, descripción, cliente, unidades y valor de venta. • Un panel de análisis con gráficos de líneas que muestren la evolución mensual de ventas, filtrables tanto por producto como por c...

I’m preparing a full-length research article that applies neural-network models, coded in Python, to detect fabric defects in an industrial setting. The goal is not only to craft a solid, data-driven manuscript but to shepherd it all the way to acceptance in a Q2-ranked Scopus journal. Scope of work The study must cover end-to-end experimentation: sourcing or curating an open or proprietary fabric-image dataset, implementing and tuning the model, analysing results against relevant baselines, and articulating the implications for real-world textile quality control. Once the research is solid, the manuscript needs structuring to meet the target journal’s author guidelines, followed by submission, peer-review revisions, and final proof corrections until the paper receives an on...

I need a set of well-researched socio-economic articles that dissect income inequality from multiple angles and speak directly to an academic and research-oriented readership. Each piece should combine clear narrative with rigorous evidence, weaving together recent empirical studies, credible datasets, and relevant theoretical frameworks to create work that could comfortably sit in a peer-reviewed journal or policy brief. What I’m expecting from you: • 3–5 standalone articles (2,500–3,000 words each) on distinct facets of income inequality—causes, measurable impacts, and potential policy responses. • Proper academic referencing (APA, Chicago, or Harvard—use whichever you prefer consistently). • Original charts or tables when data analysis i...

A complete set of publication-ready figures must be generated from my MIKE11 runs. All inputs are simulated data covering both hydrological and hydraulic scenarios, and the goal is to translate those raw model outputs into crisp visuals that meet journal standards. The final package should combine clear graphs, informative maps, and any additional model snapshots necessary to communicate the results. Consistency in colour palette, layout, and labelling is essential so the figures read as a unified suite within the manuscript. Key tasks include • extracting the relevant time-series and spatial layers directly from MIKE11 (or MIKE View), • styling and annotating them for clarity—legend, scale bars, axes, units, etc.—and • exporting high-resolution files (TI...

At Tolog Institute, we don't just simulate; we build. We are currently transitioning our Tolog-Alpha hardware model from a theoretical framework into a physical 3x3 stabilization grid. I am looking to connect with elite engineers and developers who are experts in: High-speed Data Acquisition: Reaching 10k+ SPS on multi-channel MCU architectures (Arduino Mega/ESP32). Non-linear Dynamics: Phase-locking loops and synchronization of relaxation oscillators. Precision PCB Design: Minimizing EMI for sensitive analog feedback loops. We are pushing the boundaries of the Tolog-Mirga Interface. If you are tired of standard CRUD apps and want to work on hardware that challenges the Nyquist limit and explores phase-space stability, let’s talk. The goal? 100% synchronization. The location? Th...

I have a set of raw financial figures that first need to be entered accurately, then explored for insights, and finally presented in an interactive format. After the data entry phase, I want you to dive into the numbers, spot trends, and surface any anomalies or opportunities that stand out. All visualisation will be built in Power BI, so you should be comfortable shaping data in Power Query, modelling relationships, and designing clear, executive-friendly dashboards with slicers, drill-throughs, and dynamic KPIs. Deliverables • Clean, well-structured dataset ready for ongoing reporting • At least one interactive Power BI dashboard covering key financial metrics (profitability, cash flow, variance versus budget, etc.) • A brief walkthrough or set of notes explainin...

I’m getting ready to sell a personal collection that includes vintage and modern PEZ dispensers alongside assorted Nintendo-branded items (figures, plushes, promo pieces and other memorabilia). Before I list anything, I need solid data on what each piece is realistically worth today. For every item I will give you, please dig up: • The current fair-market value backed by recent sold-item comps (eBay, Heritage, WhatNot, WorthPoint or similar). • A concise snapshot of historical price movement so I can see if the market is trending up, down or flat. • A note on relative rarity and how condition grades (loose vs. MIB, card condition, paint wear, etc.) alter price expectations. Present your findings in a clean Google Sheet or Excel file with separate columns fo...

The goal is to turn long-term Reddit chatter into actionable forecasts for the equity market. Here’s the flow I need built and documented: • Data assembly   – Pull every post and comment that mentions publicly traded tickers over the past 3-5 years, using Reddit’s API (PRAW or Pushshift).   – Filter & rank tickers by daily trading volume, then lock in the top ten companies for the study.   – Store raw text, basic metadata, and a timestamp-aligned sentiment score in a clean, queryable format (Parquet or CSV). • Market reference set   – Fetch matching historical OHLCV data for those ten tickers from Yahoo Finance so each trading day can be paired with Reddit sentiment features. • Model...

I have a completed research paper that now needs a fresh, expert set of eyes. My goal is to polish the work so it meets the standards of a top-tier journal. I’m open to support on any of the following fronts—deep data interpretation, tightening the literature context, or sharpening the final conclusions—depending on where you can add the most value. Field and data focus are flexible. Whether your strength lies in Science & Technology, Social Sciences, or Humanities, and whether you specialise in qualitative, quantitative, or mixed-methods analysis, I’m happy to align the scope to your expertise. Here’s what I expect as the end result: • A concise critique of the current draft, pointing out logical gaps, methodological weaknesses, and areas that need...

Project Title: Deep Learning Project for Chest X-ray Diagnosis (Edge & Multi-Modal ) Description: I need help implementing a research project on chest X-ray disease detection using deep learning. The project should include: Dataset preprocessing (MIMIC-CXR / CheXpert) CNN baseline model (ResNet) Lightweight model (MobileNetV3 or similar) Multi-modal input (X-ray images + patient metadata) Basic edge optimization (model size, inference speed) Continual / adaptive learning simulation Evaluation metrics (Accuracy, AUC, F1-score, Precision, Recall) Result tables and graphs for research

I have a batch of Word documents that contain structured data—tables, lists, and figures—that all need to live in a single Google Sheet (fully Excel-compatible). First, every value has to be transcribed with 100 % accuracy, keeping the original wording for headers and notes. Once the sheet is complete, I also need a layer of data analysis: • Create clear pivot tables (or equivalent functions) that summarise totals, averages, and any obvious trends. • Insert simple charts where they help illustrate those findings. • Add a short written summary on a separate tab explaining key insights in plain language. No data comes from scans or handwritten sources—only the supplied Word files—so formatting should be straightforward. I will share the temp...

I’m putting together a short-run, high-impact training series for a group of advanced Power BI users who already build reports daily and are hungry for deeper mastery. The focus is squarely on data modeling strategies and sophisticated DAX techniques that move beyond calculated columns and measures into row-level security, dynamic relationships, optimization, and real-world performance tuning. The assignment is time-critical: I’d like to roll out the first session as soon as we lock in the schedule, so please be comfortable jumping in immediately. Sessions can be live online, but recordings and reusable reference material (PBIX examples, slide deck, and answer keys to exercises) must follow each class. To keep expectations crystal clear, I’ll sign off once I can: &bul...

I am conducting advanced research in machine learning and artificial intelligence, with interests that include Graph Neural Networks, deep learning, and data-driven modeling. I am seeking an experienced machine learning / deep learning research assistant to collaborate on preparing two experimental journal manuscripts for submission to Scopus-indexed Q2 or Q3 journals. The role involves supporting the research and manuscript preparation process. All work must follow standard academic integrity and publication ethics. ⸻ Scope of Work The assistant will help with: • Literature review on recent machine learning and deep learning methods • Supporting experimental design and benchmarking • Assisting with implementation and experiments (Python / PyTorch / TensorFlow preferred)...

I need a set of well-researched socio-economic articles that dissect income inequality from multiple angles and speak directly to an academic and research-oriented readership. Each piece should combine clear narrative with rigorous evidence, weaving together recent empirical studies, credible datasets, and relevant theoretical frameworks to create work that could comfortably sit in a peer-reviewed journal or policy brief. What I’m expecting from you: • 3–5 standalone articles (2,500–3,000 words each) on distinct facets of income inequality—causes, measurable impacts, and potential policy responses. • Proper academic referencing (APA, Chicago, or Harvard—use whichever you prefer consistently). • Original charts or tables when data analysis i...

I'm seeking an experienced professional to help with my qualitative dissertation in social psychology. The project involves creating and analyzing surveys. Key requirements: - Expertise in social psychology. - Experience with qualitative research methodologies. - Proficient in survey design and analysis (qualtrics) - Understanding of stigma and intersectionality theory - Literature review skills Ideal Skills: - Advanced knowledge of social psychology concepts (focus on how individuals perceive, interpret, and respond to stigma) - Strong qualitative research skills. - Experience with statistical analysis software. - Reflexive thematic analysis Please provide samples of previous work and relevant qualifications.

I will share a clean survey dataset and need a concise descriptive analysis that simply summarizes what the numbers say. Your job is to: • Run standard descriptive statistics (frequencies, means, medians, ranges). • Create easy-to-read tables and clear charts that highlight the key take-aways. • Deliver a brief written summary—plain language, no jargon—that explains the main findings so any stakeholder can grasp them quickly. Any common tool is fine; Excel, Python (pandas, matplotlib, seaborn) or R (tidyverse) all work as long as the outputs are reproducible. I’m looking for accuracy, neat formatting, and a turnaround that respects our agreed deadline.

I’m working through SAS Viya for academic purposes and need a clear, step-by-step demonstration of how to generate reports inside the platform. The focus is on data visualization, not on delivering a production-ready executive or technical document, so think of it as a teaching aid that shows — and explains — best practices. I Will need someone to share 2 hours to teach me about basic, cleansing, visualisation and creating flow What I need from you: • A sample dataset (or instructions to load an open dataset) suited to illustrating charts, graphs, and interactive visuals. • A concise walkthrough that covers the full workflow in SAS Viya: bringing data into Visual Analytics, building visual objects, arranging them on a report canvas, and publishing or export...

I have several Excel spreadsheets that hold our company’s raw financial records, and I need a clear, actionable picture of how we are performing. The core focus is on revenue- and profit-related metrics (sales volumes, margins, growth rates, month-over-month comparisons, year-to-date figures, etc.). I will supply the workbooks exactly as they stand; your job is to turn those rows and columns into insight. The process I have in mind starts with cleaning and structuring the sheets so formulas, pivot tables, or a preferred analytics script (Python / Pandas, R, Power Query—whatever you are comfortable with) can run without errors. Once the data is solid, I’d like to see: • A concise summary of key revenue and profit indicators, spotlighting any spikes, dips, or anomali...

I'm looking for a skilled data analyst to identify trends from our database. The data includes sales, customer, and market research data. Key Requirements: - Analyze data from a database - Identify and interpret key trends - Generate insights to guide business decisions Ideal Skills: - Proficiency in SQL and data visualization tools - Experience with trend analysis - Strong analytical and reporting skills Please provide examples of similar work done.

My team is expanding our international trucking operations and I need a solid, data-driven route plan that keeps every run inside Europe on time, on budget, and in full regulatory compliance. The focus is strictly on route planning—cargo handling and paperwork are already covered in-house. Scope • Analyse our current origin-to-destination pairs, factoring in border crossings, road taxes, tolls, and real-time traffic constraints. • Optimise routes for cost, distance, driver hours, and fuel efficiency while respecting EU cabotage and driving-time rules. • Supply alternative routings for seasonal disruptions or strikes. Deliverables 1. A master route map (GIS, Google My Maps, or similar) with waypoints, rest points, and refuelling stops. 2. A spreadsheet summa...

I'm seeking an Excel expert to help me analyze customer feedback data using descriptive analysis techniques. The goal is to derive insights on customer satisfaction levels. Key tasks include: - Analyzing pre-defined customer feedback data sets. - Using Excel to perform descriptive analysis. - Visualizing data using various techniques. - Interpreting data to derive insights on customer satisfaction. Ideal candidates should possess: - Proficiency in Excel. - Experience in data analysis. - Familiarity with data visualization techniques. - Ability to interpret and derive insights from data.

I need help with a data analysis homework task using R. Requirements: - Experience with R - Knowledge of statistical analysis and data interpretation - Ability to explain concepts clearly Please provide examples of previous work.

I'm seeking an experienced geologist in Portland, OR, for regulatory compliance on UST-related groundwater sites. The ideal candidate will have: - Expertise in risk-based report writing, specifically the groundwater section - Experience in groundwater sampling and monitoring - Familiarity with Oregon UST regulations and requirements Key tasks include: - Writing the groundwater section of a risk-based report - Groundwater sampling as needed Knowledge of contaminant levels, groundwater flow direction, and historical data is essential.

I am seeking an experienced investigator to conduct a comprehensive background investigation on a specific individual, as well as their family members and close associates. Two previous investigations have already been conducted using standard OSINT techniques and tools (including platforms such as Maltego). For this reason, basic OSINT approaches will not be sufficient for this project. I am specifically looking for someone capable of performing deeper investigative analysis, identifying indirect connections, overlooked data sources, and relationships within the subject’s personal and professional network. The objective is to produce a thorough, well-documented investigative report that may include findings relevant to potential legal or regulatory review. Scope of Investigation...

I’m looking for someone experienced in Python and data analysis to help structure a clean Exploratory Data Analysis (EDA) in a Jupyter Notebook. The goal is to explore a dataset and clearly document the insights. Tasks include: - Overview of the dataset structure and features - Analysis of missing values, outliers, and anomalies - Basic data cleaning with explanation - Visualizations and observations - Including one additional open-source dataset for comparison - Running a simple baseline model Deliverable: - Jupyter Notebook exported as a PDF (minimum ~3 pages) - GitHub link containing the notebook Experience with Python, Jupyter, pandas, and basic machine learning preferred.

I need a comprehensive benchmarking study that maps out which patient-experience roles a multi-hospital group should maintain, exactly what KPIs each role owns, and how those metrics stack up against recognised best-in-class hospitals worldwide. The finished work should give me: • A clear description of each role (title, core purpose, daily responsibilities) as practised in leading hospitals. • A justified KPI set for every role, showing precise definitions, formulas and recommended targets. • Side-by-side comparison of our current structure and metrics versus benchmark organisations, highlighting performance gaps. • Practical recommendations on governance—who measures, who reports, and how results cascade through the organisation. Please base the an...

We are looking for a skilled professional with strong experience in healthcare data systems and data modeling concepts. The ideal candidate should have hands-on experience working with Electronic Health Records (EHR) data and a good understanding of clinical and Revenue Cycle Management (RCM) domains within hospital systems. Key Responsibilities •⁠ ⁠Work with healthcare data from leading EHR platforms such as EPIC, Oracle Cerner, MEDITECH, or other top-tier EHR systems. •⁠ ⁠Understand and model clinical and RCM entities, including relationships within hospital and healthcare ecosystems. •⁠ ⁠Apply Kimball modeling techniques and core data modeling concepts for analytics and reporting solutions. •⁠ ⁠Support data integration, transformation, and structuring for health...

We are looking for an experienced researcher or data analyst with strong knowledge of Confirmatory Factor Analysis (CFA) to assist with an academic thesis task. The project relates to the following Topic: What are the key influencing mechanisms of South African women's self-undermining and labyrinthine paths to attaining their first promotion? Scope of Work: Perform Confirmatory Factor Analysis (CFA) on the provided dataset. The data is already cleaned and Exploratory Factor Analysis (EFA) has been completed in SPSS. Your task is to test the measurement instrument items, identify low-loading items, eliminate them, and retain the high-loading items. Develop the Results and Discussion section (approx. 2000 words) based on the CFA findings. Follow the format and guidance from a jo...

I need a reliable, easy-to-update forecast for medication supplies that tells me two things at a glance: how much stock I will need and when each batch will expire. I already have partial historical demand figures that you can build on; what I lack is a clean, formula-driven model that projects future requirements with confidence. Please use Excel or Google Sheets—whichever you feel gives the clearest, most maintainable formulas. The sheet should automatically pull forward the remaining stock, apply average or weighted consumption rates from my partial data, flag upcoming expiries, and highlight any shortfalls before they happen. If there’s a smarter way to visualise this, feel free to include a dashboard, but the core deliverable is the working set of formulas. Acceptance cr...

I’m putting together a complete video course in Hindi and English that guides absolute beginners through the full journey of data analysis—from first principles all the way to hands-on work with popular tools such as Excel and Tableau. I need you to record the lessons yourself, speaking clearly, sharing your screen, and demonstrating every step so viewers can follow along in real time. The flow should start with fundamental concepts—types of data, descriptive statistics, basic visualisations—and gradually move into more advanced techniques like pivot tables, forecasting, and dashboard creation. Practical, example-driven teaching is essential; the audience has no prior experience, so every technique must be shown in context with a downloadable dataset. Deliverables...

I need my current river model in HEC-RAS refined so it reliably supports flood management decisions. All geometric files, cross-sections, hydrologic boundary conditions, survey points, and historical high-water marks are already organised and ready for import, so you will be working with a complete and detailed data set rather than starting from scratch. The assignment is to adjust roughness coefficients, bank stations, ineffective flow areas, and any other relevant parameters until the simulated water-surface elevations match observed events within an acceptable tolerance. Once the model is behaving consistently across a range of flows, generate clear channel and floodplain delineations that I can overlay in GIS for downstream engineering and permitting work. Flood maps or velocity grids...

sixteen 1、 Title: Research on Partial Discharge Fault Diagnosis Method for Power Substation Based on Combinatorial Logic and Deep Belief Network 2、 Journal Division: SCI Zone 4 I need you to match 3-5 journals based on my topic, and I may submit them based on the journals you provide me with in the future, 3、 Writing requirements: Write according to my paper title and journal requirements, and provide necessary journal requirements documents, including an AI plagiarism report Turnitin (Artificial Intelligence) (1) Word count: 5000-8000 words (2) Formulas and symbols: cannot exist in image format, nor can they be created using Word's formula editor. Please format all formulas using MathType to ensure that the font and size match the text. (3) Formula number: All formulas must be number...

I have an intermediate-level assignment that must be completed in Excel with the @Risk add-in, and I want to finish it myself while being coached in real time. My main sticking points are building the simulations correctly and interpreting the risk analysis output that follows, so I’ll need you to explain each step, verify my formulas, and help me understand the Monte Carlo results rather than simply doing the work for me. Speed is important—I’m ready to start as soon as you are and would like to wrap this up quickly. Because this is a walkthrough, live collaboration (screen-share or similar) is essential. I’m comfortable scheduling multiple short sessions if that’s easier, but I’d like clear milestones so I always know what comes next and can practise ...

I'm looking for an expert to analyze risks using @RISK an excel addon. Key Requirements: - Proficiency in @RISK - Experience with risk analysis using @Risk - Ability to interpret and analyze complex data sets would like to jump on a call with and take me through the whole process rather than just doing it from their end.

Necesito apoyo integral para desarrollar una investigación académica centrada en el área de Ciencias de la Salud. Busco a alguien que domine la búsqueda y evaluación de literatura científica, el planteamiento de objetivos y preguntas de investigación claras, así como el diseño metodológico apropiado (cualitativo, cuantitativo o mixto según se justifique). Entregables principales: • Revisión bibliográfica actualizada con fuentes indexadas • Marco teórico y justificación del estudio • Propuesta metodológica detallada (métodos, instrumentos, plan de muestreo) • Cronograma de actividades y referencias en formato APA Valoro la redacción acad&e...

Assalamu alaikum! Are you looking to better understand financial markets without the hype or false promises? I'm here to provide clear, detailed, and educational analysis based on years of studying and mastering technical, fundamental, and psychological aspects of trading. The market is psychological warfare – a constant battle of emotions where fear, greed, FOMO, and manipulation by large players drive price action more than pure logic. Most losses come not from bad charts, but from failing to win the inner war against your own mind and the crowd's psychology. I help you navigate this battlefield with discipline and insight. What I offer: Technical Analysis: Chart markups, key patterns (head & shoulders, flags, triangles, double tops/bottoms), support/resistance leve...

Project requirements 1) Submission package Report files Part 1 report: maximum 2 pages Part 2 report: maximum 6 pages Page limits include figures and tables Page limits exclude title page, table of contents, and references The report must include explanations suitable for readers not familiar with programming Report must be submitted as PDF (or other allowed document format as specified by your portal) Code files (reproducible) Python code must be provided as Jupyter notebook(s) (.ipynb) R code must be provided as RMarkdown (.Rmd) if required by the brief Code must be runnable by someone else to reproduce your results If you reuse outputs or cleaned data from earlier questions, you must reference them clearly Submission location All relevant files must be submitted to the des...

I have a collection of datasets that need to be explored from every angle. First, I want a clear descriptive snapshot that tells me what is happening in the data right now. From there, I need predictive models that forecast future trends, and finally prescriptive recommendations that translate those forecasts into concrete, data-driven actions. You are free to move between Excel pivot tables, Python (preferably pandas, scikit-learn, and matplotlib or seaborn), and R (tidyverse, ggplot2, caret) as each step requires. The end goal is a versatile analysis that can power business decisions, support an academic write-up, and improve day-to-day operational efficiency. Please include: • Cleaned and well-documented datasets • Reproducible Excel workbooks, Python scripts or notebo...

Basically there are two task in this project. 1: I have a research paper written with the help of AI, and it needs to be re-written in human style patter so that it bypass the AI detection. 2: In the research paper, there is a section of analysis of a dataset using R. That analysis also needs to be done and three hypothesis needs to be tested with results written without AI language detection. I have a numerical dataset ready for a full hypothesis-testing workflow in R. The job covers three specific tests—t-tests, Chi-square tests and ANOVA—applied where each is statistically appropriate. I will supply the cleaned data and any relevant codebook; you return a well-commented R script (base R or tidyverse is fine) that reproduces every step, plus a concise write-up that reads lik...

My master’s dissertation in accounting and finance needs to move from a rough concept to a polished, submission-ready document, and I’d like one knowledgeable partner to guide me through every stage. The focus will be Corporate Finance; the exact research question is still only a general idea, so we will first refine and clearly articulate it together. From there, I’ll rely on you for an end-to-end workflow—comprehensive literature review, sound methodological design, data collection advice, quantitative analysis (Excel, Stata or similar), interpretation of the findings, and finally fluent academic writing with accurate referencing and critical editing. I’ll stay involved in each step but expect you to keep momentum, flag data requirements early, and make sur...

I’m looking for a seasoned researcher

I need a Power BI dashboard for leadership review. The primary focus is to visualize the organization chart. Requirements: - Connect to Excel spreadsheets - Create a comprehensive organization chart Ideal Skills: - Proficiency in Power BI - Experience with Excel data integration - Strong data visualization skills

Hi, I am a PhD student currently completing my dissertation research, and I would be genuinely grateful for your participation. Key Details: The whole session takes about ~25 minutes. You'll receive a fixed payment of $10 on completion, with a chance to get an additional performance-based bonus from the task. ALL participants who finish the survey and pass the quality checks will be awarded the contest — payment is issued as a contest award directly through Freelancer. I can only pay $10 per survey. As an extra thank-you, you can opt into a lottery for AI-related gift cards or cash. Survey link: After completing the survey, you will see a survey code. Please paste that code here, and that will count as your entry. We are looking to hire a large number of participants, so ...

I am looking for an experienced freelancer with knowledge in: Power systems Transformer fault analysis Machine learning / AI MATLAB or PowerWorld simulation The goal is academic guidance and technical support for my research work. Current Stage of Research I have already prepared: Thesis proposal Initial literature review Research scope and methodology For the next supervisor meeting, I need help refining the following research components. Tasks Required 1. Updated Literature Review Assist in expanding the literature review using recent research papers (last 3–5 years) related to: Transformer fault detection AI-based predictive maintenance Machine learning for power system asset management Sources may include: IEEE Elsevier Google Scholar Springer 2. Dataset Collection Help identify ...

I have several years of historical sales records spread across CSV files, Excel workbooks, and a database. I want you to turn that mixed-source information into a clean, consistent dataset, explore it for trends and seasonality, and then build a machine-learning model that can reliably project future sales. Data preparation must cover every stage—handling missing values, normalising numeric fields, and performing any transformations needed to feed the algorithms. Once the data is tidy, run an exploratory analysis so I can clearly see the patterns that drive revenue, especially how previous sales, marketing spend, and seasonal shifts interact. For modelling, I am open to linear regression, Random Forest, ARIMA, or another regression-based technique you can justify in the report. The...

Title: I will build a customer churn prediction model using Python Description / Project Brief: Hi, I need a freelancer to develop a machine learning model that predicts customer churn for my business. The project includes: Data Cleaning & Preprocessing: Handle missing values, remove duplicates, encode categorical variables. Prepare the dataset for model training. Exploratory Data Analysis (EDA): Analyze trends and patterns in the dataset. Create visualizations to show factors affecting churn. Machine Learning Model Development: Train a supervised learning model (like Logistic Regression, Random Forest, or KNN) to predict customer churn. Evaluate the model using metrics like accuracy, precision, recall, and F1-score. Report & Recommendations: Provide a brief report summ...

I need an expert to analyze daily rainfall data for my farm and build a predictive model. The analysis should cover: - Trend analysis - Anomaly detection - Seasonal patterns assessment The goal is to develop a robust rainfall prediction model. Ideal skills and experience include: - Proficiency in data analysis and statistics - Experience with predictive modeling - Knowledge of agricultural impacts of rainfall patterns - Familiarity with relevant software and tools (e.g., Python, R, etc.) The data is very erratic so I dont need a detailed monthly prediction model although it would be nice if possible, otherwise a yearly prediction model or atleast something that says a dry season is coming or a wet season is coming. The model must include macro environmental factors such as El Nino (ONI...

I am preparing a full systematic review that maps all available evidence on intra-renal pressure in endourology. The manuscript must cover three key angles—how pressure is measured during endoscopic procedures, the clinical outcomes linked to different pressure levels, and the complications that arise (along with their management). To give the paper real depth, I want every relevant research design represented: clinical trials, observational studies, and case reports. The core of the work is a rigorous, reproducible search across the major medical databases (MEDLINE, Embase, Cochrane, Scopus) plus grey-literature checks. Peer-reviewed journal articles are my primary focus, but I am open to conference abstracts or book chapters whenever they fill a gap in the data landscape. After th...