ANSHU GANGWAR

Build a personalized recommender system using Variational Auto Encoders, with NDCG@100 of 0.092 for testing data. Developed an ALS-based recommender model in PySpark NDCG@10 was 0.09 for the tuned model. Improvement in the number of streams and minutes of usage by 15% in AB testing. Created Python Scripts for Data Extraction from Cassandra and Elastic Search, model recommendation algorithms, and scheduling through Airflow DAGs.

Inculcated skills in Python, EDA, Machine Learning, Excel, Tableau, and Model Deployment using Heroku and Flask. Learned to solve Data Science Case Studies and guesstimates, prepare technical documents, and work on GitHub.

Headed a team of 7 Sales Managers. Achieved 80% weekly team revenue target. Set Business KPIs, and funnel analysis resulting in Upselling and cross-selling. Suggested metrics to set goals, improve internal processes, and forecast future sales and revenue more accurately. Business owners can bring their products online and market them using Google Merchant Center and Digital Marketing on Facebook and Instagram. Sending weekly reports of KPIs - CPC, CTR, Reach, and Link Clicks.

Lead a team of 10 Associates. We generate a pipeline of leads for the sales team. Worked on school data, developed strategies to support marketing goals, and student-data segregation using segmentation, built Metabase queries and dashboards using KPIs and metrics. Preparing reports for the metrics - call attempts, call connected to call attempt ratio, sales to sessions percentage.

Coursework: Machine Learning, Deep Learning, Docker, Github, Python, SQL

Coursework: Quantitative Methods, Probability, Statistics and Economic Policy of India.