Ashish Patil

• Helping in end to end localization planning, forecasting & inventory management for a major retail chain in North America. • Improving forecast efficiency, optimizing underlying codes, finding avenues for automation. • Exploring scope of application for more efficient algorithms & ML techniques like XGBoost, LSTMs in place of the typical ARMA forecasting processes.

Building & maintaining Predictive & Explanatory Machine Learning models in the areas of Customer Satisfaction, Customer Retention, Churn, Customer Segmentation using techniques like Linear/Logistic Regression, Decision trees & various Ensembles. Extracting Insights from the Data residing in company databases using statistical & ML techniques to help the Business make informed decisions.

• Forecasting Demand & Supply using Statistical techniques like Regression Analysis & Time Series Analysis to assist the procurement & Sales teams. • Simulation of various Demand-Supply scenarios spreading across multiple Raw Materials to estimate Cost implications & Revenue Impact using Monte Carlo Simulation. • Estimating Seasonality & Base demand for various raw materials using different Time Series Decomposition techniques.

Deep Learning, Machine Learning, Probabilistic Graphical Models, NLP,Python, SQL, R

Business Data MiningData Mining Applications in RFinancial AnalyticsMarketing AnalyticsMathematics for Business AnalyticsOperational AnalyticsSpreadsheet ModellingStatistics for Business AnalyticsTime Series Models in Business

Operations ManagementMarketing

Data StructuresPrinciples of Programming LanguagesAlgorithms & Design AnalysisDatabase Management SystemsNumerical Analysis