· Tested surveillance systems aimed at detecting illegal trades in markets for Regulatory Compliance· Contributed towards updating the surveillance systems from rule-based to ML-based approaches

· Automobile Client: Trained models and developed solutions for the CRM team to identify potential return customers and their reacquisition value with 92% accuracy. The focused marketing helped the client save $2.5M month over month· Active member of the leadership forum responsible for making company-wide decisions regarding revenue, work quality, and training· Trained over 20 recruits in Python, problem-solving, and presentation skills

· Digital Media Client: Designed a cross-platform customer 360 tracking solution for the research team to gain insights into anonymous users using graph analytics (networkX and python-Louvain) with 90% recall and 98% precision· Hyperspectral Image Analysis: Worked on a prototype to analyze hyperspectral images using spectralPy to cluster and classify sectors based on their spectral signatures· Retail Client: Worked with the CRM team of China geography to cluster customers into cohorts and generate product & channel recommendations based on their historic purchases.· Designed and organized company-wide workshops for tackling team dysfunctions and improving interpersonal communication skills

· Used object detection and tracking algorithms such as ReInspect, YOLO (detection), Deep Sort, MHT (tracking) to generate insights from video data on edge devices captured on premise for a variety of clients· Collaborated with individuals across the globe to set up 7 innovation labs by packaging and remotely deploying prototypes· IOT and Sensor based analytics: Analyzed non-conventional data sources to help the clients make data driven decisions, especially with brick and mortar environment and manufacturing industries (IIOT)· Contributed to the UI for Mu Sigma’s real-time analytics/IOT platform· Showcased and pitched Mu Sigma’s innovation and research initiatives to over 100 clients