Sr. Data Scientist,

• Develop and implementing ML algorithms for financial services

• Run machine learning tests and experiments, train and retrain systems when necessary,

• Perform statistical analysis and fine-tuning using test results and extend existing ML libraries and frameworks

Intern (Collaboration)

• Walmart Intelligent Retail Lab

• Topics: Object Detection, Object Tracking and Data generation

Research Intern, Advisor: Dr. Brian Gallagher and Dr. Ming Jang

• Tensor Analysis: Utilized Parafac2 decomposition to detect clusters for ALE Simulation.

Research Intern, Advisor: Dr. Neil Shah and Leonardo Neves

• Explainable AI: Developed a novel niche detection framework i.e., self-explainable model for co-clustering.

Ph.D. Research Intern, Advisor: Dr. Georgios Theocharous

• Utilized graph learning methods for sequential data for detecting communities.

• Python, TensorFlow, and Keras, resulting in a publication submitted to the IEEE International Workshop on Machine Learning for Signal Processing.

Sr. LTE Network Engineer

• Performance Analysis and Optimization of LTE RAN KPI’s for different clients like Airtel, India; Vodaphone, Netherlands; Vodafone, Germany.

• Troubleshooting all RF related problems such as interference, call quality, drop calls, Handover failures, missing neighbors, capacity crunch, and throughput issues.

• Analyzing Call flow traces: GPEH, UETR/CTR using Cygwin, GPEH Analyzer, Gladiator, etc.

• Designer and core developer of “PCI/RSI Tool for LTE”, a hugely used tool by Ericsson Ltd. This is mainly designed for planning greenfield and existing network PCI and RSI for LTE network