My 6+ year Professional Journey!
Sep 2024 - Present
Senior Data Scientist
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Designed a channel-level incrementality framework across 100+ retail media campaigns and 20+ brands, using pre-purchase behavioral stratification, propensity-weighted matched control cohorts, and weighted difference-in-differences to estimate ATT, incremental revenue, lift, and iROAS beyond attribution-based ROAS.
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Led the design of Pinterest Conversion Lift pilot using randomized holdouts and privacy-safe first-party data collaboration to measure incremental sales, iROAS, and brand-level lift, establishing a scalable framework for future campaign experimentation.
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Designed scalable, privacy-safe first-party measurement frameworks for 350+ campaigns across Meta, Pinterest, and Disney, enabling multi-touch attribution (MTA), marketing mix modeling (MMM), reach and frequency analysis, matched ROAS, customer lift measurement, and audience insights.
Sep 2023 - Aug 2024
Lead Data Scientist
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Research Project: Employed A/B testing, difference-in-differences methodology, and regression to evaluate impact of min. wage policy changes on consumer (NielsenIQ's customer panel) purchasing behavior for hedonic products
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Eli Lilly and Company: Led a strategic initiative using Bayesian network simulation to model stakeholder influence within pharmaceutical markets, providing insights for effective resource distribution and market strategy development
Jan 2024 - May 2024
Teaching Assistant
Teaching Assistant for two undergraduate Python Programming courses, facilitating lectures and labs, and providing comprehensive support to students in mastering programming concepts.
Following are the two courses:
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MGMT 28800-003: Programming For Business Applications
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MGMT 38800-002: Python For Business
Jan 2024 - Apr 2024
Data Scientist (Capstone)
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Developed a predictive real estate model leveraging XG Boost Regressor, integrating web-scraped market data with existing datasets to forecast store visits, achieving a MAPE of 13.3%, enabling strategic retail location decisions
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The data encompassed critical variables such as traffic volume, distance to highways, and proximity to amenities like grocery stores, restaurants, and other local services, providing a comprehensive foundation for accurate predictions.
Jul 2019 - Jun 2023
Decision Scientist -> Data Science Manager
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Managed a team of 8 data scientists, working for a Fortune 100 telecom clientele for an engagement generating $1.5 M in revenue annually
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Secured 3+ new engagements for Mu Sigma through effective client pitches and business development efforts
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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
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Developed a 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
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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
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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
Jan 2019 - Jul 2019
Project Trainee
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Performed a root cause analysis and developed a tracker in order to reduce focal spot defects in a specific X-Ray tube model
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Recommendation generated from tracker reduced focal spot defects by 20%
Education
Aug 2023 - Jul 2024
Master of Science
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Business Analytics and Information Management
Jul 2015 - Jul 2019
Bachelor of Technology
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Mechanical Engineering