Ing. Sourish Dey

Utilize Big Data, Machine Learning, and extensive industry experience to build data applications that automate and optimise business-critical initiatives and customer experience Manage the development and deployment of the Data Science solutions end-to-end: develop the model, backend support systems and the perform ant production API of the models

Machine Learning, Statistical Inference,Business Analytics

Data Science| Machine Learning | Statistical Modelling| P&L Simulation| Big Data  Enhancing Digital Targeting (over 300 MM prospects) using scalable next-gen machine learning(Random Forest(RF),Gradient Boosting Machines(GBM) etc.) and deep learning(Artificial Neural Network) based solutions for GCB (Global Consumer Business) at GDM- NA Cards- Acquisition.  Understanding Cards P&Ls, Curve building(refresh)of different P&L metric and P&L Forecasting – Simulation.

Data Science| Machine Learning | Statistical Modelling| Risk Analytics| Consulting Leading a 3 member team of Data Science and Big Data in advanced analytics consulting , architect end to end data science solutions across domains and communicating results to non-analytics stakeholders. Delivering value in different business functions through data science projects and POCs. Business Analysis and Developing predictive models using statistical methods and new age Machine Learning Techniques

Business Analysis| Exploratory Analysis | Statistical Modelling| Machine Learning Key individual contributor in Data Science COE team, worked using open source tools(R/Python)/Data Management (Hive/SQL/Hadoop) in preparing data visualization and predictive analytics solution to Insurance and Manufacturing vertical.  Built ML based predictive response model to help US P&C insurer Allstate in its Market expansion strategy by predicting riskiness of emerging market.

Business analytics| Modelling | Financial Analysis| Statistical Quality Control |Demand Forecasting  Developed plant and product line specific real time production line specific monthly demand forecasting models (ARIMA, Exponential, Holt Winters) for Wind and Hydro-turbine components and spare parts  Supplier Working capital analysis, supplier financial health analysis, qualitative performance metrics, compliance analysis and business forecasting model to build robust supplier partnership strategy.

Business Analysis| Statistical Analysis| Project Management Demand forecasting using time series econometric models(Time Series regression, MA, ARIMA, Holt Winter etc), Optimization power blocks with respect to demand, monitoring & reporting real time dashboards to management and utility clients and engagement in power quality improvement strategy.

Business Analytics| CRM Analytics| Project Management |Statistical Analysis Analysis of Customer LTV, customer breakeven point, project financial feasibility study, project costing, revenue generation planning, monitoring of project dimension (scope, time and cost) and change management. Developed project costing and dynamic pricing model ( IEEMA clause, loss capitalization, Tax and Duty rate, CIF)for standard electrical equipments.

Social media Analytics, Text Analytics, Decision Tree Analysis,Decision Science

Statistical Forecasting techniques,Big Data and Large Scale Data Analysis,CPG/Retail Analytics,Risk Analytics, Optimization, Game Theory, Data Mining and Predictive Analytics,Differential Calculus, Linear Algebra,Operations Research

Electrical Machine Design,Engineering Mathematics,Electrical Power System,Electrical Load Forecasting,Econometrics, Data Structure,Electrical Measurement, Electrical Network Theory Digital Signal Processing