Rajiv Dey

Data Scientist with 3.5 years experience in Data Science Modelling and Feature Engineering using structured ETL pipelines on AWS. Experienced in creating Econometric Forecasting Methodologies and developing skillset on Causal Model Structures. Completed Masters in Economics (specialized in Econometrics) from St. Xavier's, Calcutta and pursued Economics (H) from University of Delhi. Higher secondary education from Delhi Pubic School, Calcutta. Seasoned data scientist experienced working with large datasets, breaking down information and applying interpretations to complex business concerns. Proficient in distribution, predictive and hypothetical modeling. Bringing several years of related experience strengthening company operations.

1. Technical Lead on Forecasting Product Development at European Union funded Incubator Challenge (REACH) in Spain. Winner out of 120+ StartUps in the "EXPERIMENT" phase. Scored a perfect score of 5/5 in the Technical Presentation. https://www.reach-incubator.eu/news/6-startups-earn-their-ticket-to-the- final-phase-of-the-programme/

2. Machine Learning Classification Algorithms on High Dimensional Imbalanced Datasets for Binary Class Prediction Analysis for DRDO Labs (Defence Research and Development Organisation) 

3. Modelling Media Variables with Lag and Carryover Effect to Optimize Media Spends as allocated by Clients to achieve simulated Growths in Business KPI's

4. Design and Implementation of ETL pipelines using AWS -S3 and SageMaker Studio for one of the biggest MNC's in Europe.

5. Experience in delivering Market Estimation Estimation Models. Creating Competitor Predictor models in Ceteris Paribus scenarios with dashboard integrations for the above mentioned client. High business value delivered.

6.  Structuring unique Market Prioritization Methodologies for Clients based on Forecasting Methodologies and Available Business KPI'S

7.  Developing Forecasting methodology for an organization spread over 150 + countries. Custom designed accuracy metric, identification on value. Sole ownership in implementation backend mapping. Creating detailed and structured pipelines for swift stakeholder management and methodology onboarding., 

8. Causality Modelling Analysis using Granjer Causality for a major trucking company to identify lagged effect of Internal and External Variables related to Business domain. Personal Interest to specialize more on Scientific Causal Model Structure for Business Value Generation., 

9. Ownership of Data Science Recruitment Framework at present organisation and Mentorship of Junior Data Scientist recruits in the organisation.

• "Shell.ai hackathon for Sustainable and Affordable Energy" - Forecasting and Optimization challenge where my contribution to the team was to develop a Forecasting model for 2014 locations based on yearly data with only 7 data points per locations leveraging the use of external variables of crop production for biomass generation. Secured score of 79.146
• "Shocks and Volatility Spillover between Oil Price, Stock Price, Gold price and Foreign exchange." - Using appropriate econometric tools to design optimized portfolios to measure the direction of the spillover effect between macroeconomic variables.