Mar 2023 – Jan 2025 · 1 yr 10 mos · Remote

Dec 2019 – Dec 2022 · 3 yrs · Delhi

• Pursuit of upsc for 3 years. Gave 2 mains

Mar 2019 – Dec 2019 · 9 mos · Gurgaon, India

• Recommendation system for online orders using XGBoost : Working on optimizing the time complexity for the model and conversion of code base to spark.
• Language, tools and Frameworks being used: Python, Spark, Kafka, Golang and Redis.

Jul 2017 – Mar 2019 · 1 yr 8 mos · Bengaluru, Karnataka, India

• Classifying App reviews : Automatic classification of app reviews to pods.
• Demo prediction model which predicts the demographic information of users for better ad-targeting.
• Top Picks For You Recommendations : Built recommendation system to learn user latent vectors from user watch history with 98.6% accurately capturing ALS recommendations with very low latency. This helps in real time recommendation serving.
• Built and Deployed hybrid recommendation model pipelines by combining Collaborative Filtering with Content based model which is trained over co-visits for movies, tv and sports
• User Segmentation: 150+ million users segmented into 29K clusters with 94.6% coverage are formed with frequent pattern mining technique (FPTREE) on watch history.
• Automatic score card generation and ball to ball segmentation of match based on text detection with accuracy of almost 100%.
• Working with Python, spark for programming; S3, Redshift, Athena and Aerospike for database storage and querying; AWS data pipelines for deployment of models.

May 2016 – Jul 2016 · 2 mos · Mumbai Area, India

• Financial Equity data storage, visualization and Analysis. Visualization of customer portfolio