Competent data scientist with five years of experience developing a wide range of models like Credit Scoring, Segmentation & RFM (Non Contractual Setting), CLV, Demand Forecasting (SARIMAX & LSTM), Churn Propensity, Channel Attribution and Survival Analysis. Ability to explain correlations among features with statistical analysis. Actively seeks new technology options and approaches to business challenges. Having more than 10 years of Marketing/Customer Service comes handy in feature engineering. SKILLS: Python (Data Mining, Apps & ML), R (Statistical Analysis), PowerBi, Tableau, SQL (Transactional) , No-SQL (Big Data), KEY KNOWLEDGE AREAS: Univariate & Multivariate Statistical Analysis, Factor Analysis & PCA, Regression Analysis, Clustering, Ensemble Modelling & Decision Trees, Model Performance Metrics & Evaluation