- Hands on Analytics, Data Science Modeling experience
- Experience on Machine Learning algorithms and Python (preferred) or R or SAS
- Command over Analytics model development process (ex. CRISP DM): Business Data Understanding, Data Preparation, Model Development, Validation and Deployment
- Competent in understanding customer requirement and suggesting analytical solutions/approach-Understanding of Data Extraction from EDW/Big Data Platform, Dataset - Preparation(creation of base data, aggregation, transformation), EDA, Data visualization
- Understanding of Data Extraction from EDW/Big Data Platform, Dataset -Preparation(creation of base data, aggregation, transformation), EDA, Data visualization
- Statistical model (Descriptive, Predictive) development on R/ Python using various statistical machine learning techniques/algorithms
- Proficiency in Multi-variate Data Analytics techniques such as: Regression, Principal
Component Analysis, Cluster Analysis, CHAID, Logistic Regression, Time Series Forecasting and Market Basket Association
- Outstanding ability in deriving and presenting actionable insights for data driven decision making
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