Customer Trend Prediction Analysis Model -- 2

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@nrajuu07

With an unwavering passion for uncovering data-driven insights that can catalyze business growth, I bring a robust toolkit of technical skills and a wealth of experience to the table. When it comes to tackling the vast amounts of customer data you've mentioned, I'm well-versed in every stage of the process, from data cleaning to building and deploying predictive models. My expertise centers around Pandas, scikit-learn, R, SQL - exactly the powerhouses you seek. Not only will I deliver a refined script or notebook with a meticulously trained model, but my ability to present these insights in plain language ensures all stakeholders can comfortably navigate through them. In particular, my work with time series forecasting employing ARIMA, LSTM, GRU and Prophet models aligns perfectly with your requirements. Accurate predictions validated via robust cross-validation methods are par-for-the-course in all my projects; a commitment that is also extended towards code reproducibility on your machine through detailed documentation. Additionally, I also have a flair for creating interactive visualizations on platforms like Tableau and Power BI, which can help the non-technical members of any business delve into the intricacies and possibilities offered by accurate trend prediction. In summary, choosing me would ensure aligning your technical needs and business vision for this project while guaranteeing accuracy rooted in sound statistical techniques.

@kaimenyijohn5

AM READY TO START: CUSTOMER TREND PREDICTION MODEL & INSIGHTS Hello, I am John K., a full-time data scientist and business intelligence analyst with over 15 years of experience. I specialize in building end-to-end predictive modeling workflows that translate raw customer data into actionable, business-ready insights. My understanding is: You need a complete predictive modeling project using your CRM data to forecast customer trends, including data cleaning, feature engineering, model building, and clear reporting of key drivers. I will deliver: ✅ A documented Python notebook (pandas, scikit-learn) with a trained, validated model ✅ A concise report/slide deck with insights and recommendations ✅ Interactive Power BI/Tableau visuals for stakeholder exploration Let's connect via chat to set up our first checkpoint! I'm ready to align the approach with your business goals. Respectfully, John K.

@PremchandGat

Hello there, This project aligns perfectly with my experience in end-to-end customer analytics and predictive modeling. I specialize in turning complex CRM data into reliable, actionable forecasts that teams can confidently use for decision-making. I will deliver a complete analytical workflow, including: Rigorous data cleaning and feature engineering across transactional, behavioral, and engagement data Exploratory analysis to uncover early signals and customer patterns A validated predictive model (using appropriate techniques such as tree-based models or regression), with clear performance metrics from cross-validation or a hold-out set Fully reproducible Python/R code with clear run instructions Results will be translated into plain-language insights, highlighting the key drivers behind predicted trends and concrete actions your team can take. If helpful, I can also provide interactive visuals or a lightweight dashboard to make forecasts accessible to non-technical stakeholders. I value regular checkpoints to ensure the analysis stays aligned with your business context and goals. I can begin immediately and adapt the approach as insights emerge. Best regards

@gunjan1711

- I have hands-on experience building end-to-end predictive analytics workflows on customer and CRM datasets. - I start by cleaning and validating raw data across transactions, on-site behaviour, and engagement sources. - I perform exploratory analysis to surface early signals, correlations, and behavioural patterns. - I engineer meaningful features that improve predictive power and align with business objectives. - I train and evaluate predictive models using proven methods, validating accuracy with cross-validation or a hold-out set. - I focus on interpretability so key drivers behind the predictions are clearly understood. - I deliver a fully documented notebook or script that can be reproduced and extended easily. - I summarise findings in a concise slide deck or PDF with actionable recommendations. - I can add a lightweight Power BI or Tableau dashboard to help non-technical stakeholders explore results. - I work with regular checkpoints to ensure the approach stays aligned with business context and priorities. Reference work is available in my profile.

@sowmyap34

While I’m new to this platform, I hold a Master’s degree in Data Science from Otto-von-Guericke University, Germany, and have over 10 years of experience working with complex datasets. I’ve worked on projects to do sales / customer data analysis using Python, SQL, Power BI, and build machine learning models with sklearn and Microsoft Azure tools. I would use CLV to prioritise high spending customers, also look into Churn rate as well as forecasting models to understand the trends. While documenting i would clearly explain data cleaning steps,feature engineering, model selection,validation and performance metrics in PDF as well include it in the PBI dashboard.

@anupd35

Hi, I reviewed your requirement for a looker studio, Tableau and Power BI dashboard. I have experience working with Excel data, data modelling, and interactive visuals in looker studio, Power BI and Tableau. I can deliver a clean, accurate dashboard aligned with your KPIs. Happy to discuss your expectations.

@adityac9999

I am a software developer with 4.5+ years of experience working with Python, MySQL, Docker, and Git. I focus on building scalable, secure, and maintainable applications. I ensure clear communication, timely delivery, and solutions that align with your business goals. I’m committed to writing clean code and providing reliable long-term support.

@aarsh1agency

Hi! I am an AI/ML Engineer with a strong background in building predictive models from complex, multi-source datasets. I am currently a DRDO Intern, where I develop Machine Learning models to predict performance characteristics—a task requiring high precision and rigorous validation. I will provide a full analytical workflow using Python (Pandas, Scikit-learn) to turn your transaction and behavior data into a high-accuracy trend forecasting model. My approach includes: Deep Feature Engineering: Extracting meaningful patterns from raw CRM and social engagement data. Robust Validation: Ensuring model reliability via cross-validation and hold-out sets to prevent over-fitting. Business-Centric Reporting: Translating complex metrics into plain-language insights for your stakeholders.

@indraj21

I have carefully reviewed your project description and requirements. I can help you convert your comprehensive customer data into a reliable, interpretable, and actionable predictive model that identifies upcoming customer trends and patterns worth acting on. I am an Associate Data Scientist (M.Sc. Statistics, IIT Kanpur) with hands-on experience in building end-to-end analytical workflows—from raw data ingestion to deployable predictive models and stakeholder-friendly insights.

@Samoficial

Hey there, I will do the churn analysis for you, clean the data and turn it into the desireable model for you to use. I use Python, pandas, numpy and scikit - learn for my analysis and model building.

@hariomp37

Hello, I have hands-on experience in data analysis and data science using Python and SQL. I understand your requirements and can efficiently clean, analyze, and visualize data to extract meaningful insights. In addition to analysis, I can also build machine learning models (regression/classification) where required, ensuring accurate predictions and data-driven solutions. I will use Pandas, NumPy, Scikit-learn, and visualization libraries (Matplotlib/Seaborn) to deliver well-structured, accurate, and on-time results. I would be happy to discuss your project in detail and suggest the best approach. Thank you.

@hassam945

Hi there , first of all this is exactly the kind of work I handle with confidence. Customer trend prediction using transactional behavioral and CRM data is part of my regular workflow, and I work with an experienced data team alongside me to deliver results on a done-basis, not experiments. I can take your raw dataset in its original format and build a complete end-to-end pipeline: cleaning and validation, feature engineering across behavior and engagement signals, exploratory analysis to surface key drivers, and a predictive model that highlights actionable patterns. I typically work with Python using pandas, scikit-learn, and SQL where needed, and I present insights in clear language supported by metrics. If a dashboard helps decision-making, I can include a lightweight Tableau or Power BI view. You will receive reproducible code, a trained model with proper validation using cross-validation or a hold-out set, and a concise report that translates forecasts into business actions. I value regular checkpoints so the model stays aligned with your business goals. "I am new on this platform, but not new to this work. You can test me in the initial phase to evaluate progress. If you are not satisfied, you do not need to pay. I am confident you will be impressed. Now it’s up to you".

@snehargupta

Hello, I can build an end-to-end predictive analytics workflow that turns your customer data into reliable, actionable forecasts. I’ll handle data cleaning, feature engineering, exploratory analysis, and model development using Python/SQL, with validation through cross-validation or hold-out testing. Insights will be clearly explained in plain language, supported by metrics, and delivered with reproducible code, documentation and Dashboard. I’m comfortable working with regular checkpoints to keep the analysis closely aligned with your business goals.

@shubhamb898

I can take full ownership of this analytics workflow from raw CRM data to a validated, business-ready predictive model. I work extensively with Python (pandas, NumPy, scikit-learn), SQL, and visualization tools like Power BI/Tableau to clean data, engineer meaningful features, uncover drivers, and build models that highlight actionable customer trends. You’ll receive a fully documented, reproducible notebook/script, clear validation using cross-validation or hold-out testing, and insights explained in plain business language. I’m structured, deadline-driven, and proactive with checkpoints to ensure the model stays aligned with real business goals not just technical accuracy.

@matekaj3

I am a data analyst with experience in customer data analysis and trend identification. I focus on transforming raw data into clear insights that support better business decisions. For this project, I will analyze customer behavior patterns, identify key trends, and present findings in a clear and practical way. I pay strong attention to data quality, accuracy, and interpretation, ensuring results are easy to understand and actionable. I communicate clearly, meet deadlines, and aim to deliver insights that directly support your business objectives.

@Flavacosta

I have plenty experience working with EDAs, Data processing and tools like Python, Pandas, SQL, Numpy, ScikitLearn, And other ML Toolkits. Also, I'm great with documentation and clean code.