Data Scientist
CurrentLead Generation & Campaign Projects:Conducted transaction mining to identify customer leads based on specific behavioral patterns, providing actionable insights for business campaigns.Led data-driven initiatives by identifying qualifying customer transactions, ensuring compliance with defined criteria, and implementing a process for randomized selection.Feature Store & Data Asset Creation:Built 2-3 data assets to consolidate siloed data into a feature store, enabling data scientists to access clean, structured customer-level data for machine learning projects.Collaborated closely with data owners to gather and clean data, ensuring accuracy and relevance for business initiatives.Data Gathering, Cleaning & Analysis:Heavily involved in gathering and cleaning data from multiple sources before building models, ensuring high-quality data pipelines.Used SQL and Python to extract, clean, and process large datasets.Provided detailed reports and analysis on transaction patterns segmented by customer types and time frames to support business decision-making.Performed general statistical analysis (medians, percentiles, min/max) and presented insights to business teams.