Lead Data Scientist
CurrentASSORTMENT INSIGHTS CAPABILITY Developed and implemented an NLP-based classification framework from scratch to identify whitespace categories and generate guest demand signals. This is used in optimizing assortment decisions and onboarding new vendors in Target Plus, resulting in enhanced relevance and competitiveness of Target's product offerings.Techniques and Tools: Bert, S-Bert, Fasttext, NLP, Textrank, Yake: Python, PySpark, StreamlitPROMOTIONS INISIGHTSDeveloped advanced algorithms to measure incremental sales ratio from digital promotions, evaluating their effectiveness; and collaborated with the Guest Experience team to provide thought leadership on hero metrics and KPIs, enabling measurement of guest perception and the impact of promo messaging. The ISR metric is used by the category captains to plan future promotions.Techniques and Tools: Time Series Forecasting, Kalman filters, R, Python, Hive, DomoCLEARANCE INSIGHTSImplemented ML solutions to measure the impact of the clearance recommendation engine (Autumn AI) on capture rate and sell-through; developed outlier logic to identify scenarios for manual intervention in markdown recommendations; and analyzed the impact of manual overrides. The solution was used to optimize decision-making process and enhance the efficiency of the clearance ops team.Techniques and Tools: ML Techniques, Python, PySpark, Domo, Greenfield