Neel M.

An analytics consultant with experience in multiple domains like Transportation (Liquid & Gas logistics) and Oil & Gas (Downstream, Retail), proficient in conducting market research to evaluate product lines alongside business profitability as well as deploying complex machine learning and statistical modeling algorithms/techniques for identifying patterns and extracting valuable insights for key stakeholders and organizational leadership. Prime areas of my work are business and process control analytics along with special emphases on statistical model building. Throughout the years I've worked on Financial analysis, Business plan, Pricing strategy and analysis, Marketing analytics, Market research(Secondary), Scheduling, KPI, Freight costing, Transportation Analytics, Promotion analysis etc. KEY SKILLS: Business Analysis, Consulting & Strategy • Data Analysis • Inferential & Descriptive Statistical Analysis • Machine Learning • Market Research • Forecasting • Process Implementation • Resources Allocation • Report Generation • Database Implementation • Stakeholder Management • Data Visualization • Predictive Modelling & Analytics • Data Mining TECHNICAL SKILLS: Programming languages & Frameworks: SQL, R, Python, Scala, ETL Frameworks Visualization, Analytical & VCS Tools: Power BI, Tableau, Microsoft Azure, Google Cloud, Git-hub Statistical packages: Excel (VBA Macros), SPSS, SAS Packages: SciKit-Learn, NumPy, SciPy, Pandas, NLTK, Flask, Beautiful Soup Big Data Stack: AWS, MongoDB, Spark Statistics/Machine Learning: Hypothesis Testing, Dimensionality Reduction, ANOVA, Linear/Logistic/Lasso/Ridge Regression, SVM, Ensemble Trees, Random Forests, KNN, Clustering