Kedar Talashilkar

● Designed and implemented a data-driven system to track feature adoption trends, defining key product metrics such as advertiser engagement, ad spend efficiency, ROAS (Return on Ad Spend), and campaign retention rates ● Performed exploratory data analysis (EDA) to identify key customer behavior patterns and trends, and built BI dashboards to drive data-informed decision-making ● Conducted Customer Churn Analysis using SQL by analyzing transactional data and behavioral patterns to identify at-risk eCommerce sellers, leading to a 20% reduction in churn rates through targeted retention strategies ● Developed Ideal Customer Profile (ICP) models by analyzing demographic, behavioral, and transaction data from CRM, marketplace APIs, and platform usage logs to identify high-value eCommerce sellers ● Built interactive dashboards, transforming complex datasets into actionable insights, improving decision-making speed by 30% and operational efficiency by 20%, for key stakeholders across the platform ● Designed and implemented scalable data pipelines, optimizing ETL processes for data transformation and migration, improving data quality and boosting operational efficiency by 15% ● Leveraged Python libraries, NumPy and Pandas, for data integration, API handling, data preprocessing & analysis, and automation of recurring tasks to streamline workflows and improve efficiency ● Collaborated with cross-functional stakeholders to gather and translate business requirements into detailed product, process, and system specifications, ensuring alignment with project deliverables

● Designed and implemented SQL-based data validation scripts in collaboration with the Data Ingestion team, ensuring 99% data accuracy across critical workflows and improving data reliability for analysis and reporting ● Designed and implemented a data collection framework using Google Analytics and SQL to track user behavior, defining key engagement metrics and optimizing website performance through data-driven insights ● Built a scalable data warehouse on Snowflake, optimizing storage and performance

● Performed comprehensive sales data analysis to identify opportunities for revenue growth and cost optimization, leading to a 35% increase in sales and a 20% reduction in marketing expenses ● Performed ad hoc analysis and developed data-driven reports for sales, marketing, and finance teams, leveraging key business metrics to address specific challenges, support decision-making, and identify growth opportunities ● Utilized Excel for deep-dive data analysis and reporting, uncovering major operational bottlenecks and implementing data-driven solutions that boosted process efficiency and optimized workflows ● Led an onshore team for a London-based retail client, implementing data-driven solutions