Dec 2019 – Feb 2021 · 1 yr 2 mos · Greater Bengaluru Area

Jan 2019 – Dec 2019 · 11 mos

• Extensively worked on developing intelligent solutions to personalization related problems in the Digital Advertising domain, predominantly using solutions from Machine Learning backgrounds in the Python and Spark environment
• Modeled the business problem of Dynamic Creative Optimization as a Contextual Multi-armed Bandit problem, and benchmarked several popular Reinforcement Learning based solutions like Upper Confidence bound and Thompson Sampling based approaches.
• Devised a state-of-the-art approach for the same by incorporating Field-aware Factorization Machines into the epsilon-greedy framework, to handle severe sparse data and class imbalance situations
• Developed production-ready data pipelines to handle data in magnitudes of billions per day for data ingestion, cleaning, and feature engineering in Apache Spark.

Jul 2017 – Dec 2018 · 1 yr 5 mos

• Recommender Systems:
• Performed extensive research on the performance of several ranking algorithms like LambdaFM and FFM on the standard Movielens 10M dataset, achieving state-of-the-art scores in popular metrics like MAP and nDCG.
• Prototyped a content-based recommender system for intelligent ranking of apps in Creative Cloud App Launcher, to improve relevant app discovery by users
• Automated Audience Targeting:
• Devised a divisive clustering based framework to generate market segments based on multiple features and conformable to optimize for different business key performance indicators
• Implemented an instance of the framework for display advertising campaigns, showing a 23% lift in KPI (in offline scenario) over the existing segmentation
• Supervised an internship project on the same, with focus on product deliverable in parallel with consistent learning on relevant Machine Learning related topics

Mar 2017 – May 2017 · 2 mos · Dubai, United Arab Emirates

Dec 2016 – Jan 2017 · 1 mo · Virtual Internship

May 2016 – Jul 2016 · 2 mos · Noida, Uttar Pradesh, India

• Developed new business applications of Augmented Reality after a comprehensive study of the abilities and limitations of current techniques used. Focused mainly on the usage of the Vuforia SDK under the Unity and Android platform.

May 2015 – Jul 2015 · 2 mos · Indian Statistical Institute, Chennai

• Literature review on Modal Logic, and its derivatives (including Epistemic Logic) and applying the knowledge to generalize the work on the use of Logic as a language to describe Game Theoretic problems.