Abhishek chandra Shukla

Master's

Data Science

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Data Scientist

- Developed Marketing mix modeling to optimize marketing spend across different channels, boosting ROI by 6 - Leveraged marketing analytics and hypothesis testing using Python (Pandas and NumPy) to provide business - Performed feature engineering, linear regression analysis, and optimized re-allocation using statistical - Employed multi-touch attribution with deep learning techniques to assess the impact of different customer - Performed data collection and processing of structured and unstructured data from multiple data sources, like - Facebook Ad Manager, Google AdSense, APIs, and relational & non-relational databases for data integration - Built causal inference based uplift modeling using propensity score matching and SK Learn to deliver actionable - Utilized Tree-based algorithms like Random Forest, XGBoost, and neural nets using Scikit learn and PyTorch for lead scoring and increased patron customers by 7% using A/B testing - Conducted exploratory data analysis to identify trends and patterns, used dimensionality reduction & feature - Implemented K-means clustering, and statistical tests for clustering using Scikit Learn, Keras, and TensorFlow - Calculated customer lifetime value (CLV) with customer churn using time series forecasting models like ARIMA - SARIMA, and FbProphet on PySpark and AWS EMR - Leveraged statistical tests for model validation and model optimization through hyperparameter tuning - Collaborated cross-functionally to create interactive dashboards for data visualizations and tracking Key - Performance Indicators (KPIs) using Tableau - Environment: AWS S3 bucket, EMR, Redshift, Athena, Glue, Lambda, Catalog, Sagemaker, PySpark, Tableau, SQL