Nikhil Kumar Jha

As an Applied Scientist, my responsibilities include serving our customers with personalized recommendations (collaborative / content), employing large language models in search and recommendation tasks, determining causal impact measurement of customer actions on optimization metrics, developing and deploying ETL processes in production relevant to end-to-end model development lifecycle, and collaborating on cross-teams projects to achieve common goals and leverage collective expertise.

- Development and automated deployment of ETL workflows using DBT and Redshift DWH - Lead and coordinated operation of different cross-team BI and Data Science projects - Competitive Intelligence - crawl and analyze the competitor's product pricing and feature information to drive insights - Analyzed feature usage data to understand customer behavior, predict conversion, and lead generation - Detecting product's commercial usage using rule-based and ML methods to push for free-to-paid conversion

- Personalized recommendations using Session-based, Collaborative Filtering, and Hybrid recommender - Employing Fuzzy Pattern and NLP algorithms to match products based on textual and numerical attributes - Conducting time-series predictive analytics on hotel prices - Using ARIMA, RNN, LSTM, and GRU for precise time-series price forecasting - NLP algorithms - traditional and deep learning, for email classification and topic modeling - ML for fraud detection in bookings and voucher coupon distribution

1. Fraunhofer IEM Developed infrastructure and an end-to-end data science solution to perform anomaly detection on event data captured from an autonomous car trained using reinforcement learning, and used optimization techniques like unsupervised feature selection, hyperparameter optimization, neural architecture search, etc. 2. University of Paderborn Worked with deep learning models for computer vision tasks and strategies to compress them in order to deploy them in resource constrained environments.

- Developed emulation solutions - supporting 7+ clients, with a focus on system-level design / verification. - Managed a team of 4 and involved in hiring resources, onboarding, and delivering training workshops.