Description | : | A dynamic professional with 2 years’ experience in Data Science/Analytics field. ❖ Have strong knowledge related to Retail Marketing, Consumer Behavior, Campaign Analytics, Marketing Research and Customer Driven Personalization. ❖ Analytics and Statistical Modeling: Predictive Modeling, Linear & Logistic Regression, Decision Tree, Random Forest, Time Series Forecasting, NLP, Text Classification, Recommender Engines, Matrix Factorization. ❖ Analytics/Reporting Tools: Python, Excel, SQL, and Signal Hub (a Hadoop based proprietary analytics platform). |
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