My 5+ year Professional Journey!

Managed a team of 8 data scientists, working for a Fortune 100 telecom clientele for an engagement generating $1.5 M in revenue annually for Mu Sigma

Secured 3+ new engagements for Mu Sigma through effective client pitches and business development efforts

Utilized Wilkerson's methodology to validate lung cancer subtype classification on GSE26939 and GSE17710 datasets using Nearest Template Prediction (NTP) and consensus clustering, establishing a robust framework for subtype classification of unseen genomic datasets

Developed a sophisticated Fraud-Detection framework combining Time Series Analysis, Rule-Based Heuristics, and K-means Clustering, enabling a major telecom client to identify and eliminate 50% of fraudulent clone accounts in their network, thus preventing an annual revenue loss of approximately $7 million

Classified and identified Events (Outages, MAC Shifts, Flapping etc.) in network using cable modem data, wherein, a cable modem’s current state could be observed at any instant, with a 98% accuracy

Led onboarding of ThoughtSpot tool for intelligent reporting. Created over 40+ interactive liveboards, conducted internal demos and training sessions enabling widespread adoption and socialization of tool

Determined the cost to serve at different supply chain phases, targeting product fulfillment optimization, which enabled client's 'Every Day Low Price' strategy and identified potential savings of approximately $40 million

Led a marketing initiative for Fortune 100 sports retailer, enhancing audience selection for sneaker promotional campaigns, by leveraging consumer engagement metrics from livestreams, resulting in 14.3% rise in consumer conversion rates