Varun N

● Analyzed product sales performance data using SQL and Tableau, identifying trends to inform inventory and marketing strategies. ● Developed interactive dashboards in Power BI, presenting key e-commerce metrics for brand performance and operational efficiency improvements. ● Utilized Python with Pandas to clean and transform large datasets, ensuring data quality for comprehensive business reporting across platforms. ● Created regular reports on shipping and fulfillment costs using SQL queries, contributing to efforts to optimize Spreetail's operational expenditures. ● Designed and maintained data models in a cloud data warehouse like Snowflake, supporting robust analytics for global market share expansion. ● Implemented A/B test analysis for various e-commerce strategies, measuring impact on conversion rates and customer acquisition with statistical methods. ● Extracted crucial customer behavior insights from web analytics platforms, informing targeted marketing campaigns to increase brand market share. ● Built automated data validation checks using SQL scripts, improving the reliability and accuracy of reporting for product listing performance. ● Conducted deep dive analyses into supplier performance data, identifying opportunities to improve purchasing efficiency and reduce procurement costs. ● Delivered actionable recommendations based on market research and internal data, guiding brand growth strategies and product diversification efforts

● Analyzed large datasets from production and supply chain using SQL and Python, identifying trends in dairy product quality and operational efficiency. ● Built interactive dashboards in Tableau, visualizing key performance indicators for sales, inventory, and distribution across various product lines. ● Developed ETL processes using Python scripts and AWS Glue to integrate raw data from diverse sources into a centralized data warehouse. ● Performed ad-hoc data analysis using Excel and Power BI to support immediate business decisions related to market demand and pricing strategies. ● Created reports on customer purchasing patterns and product consumption using SQL queries, informing marketing campaigns for cheese and fluid milk. ● Utilized Snowflake for scalable data storage and querying, managing vast volumes of dairy processing data to ensure data accessibility. ● Designed data models for structured and unstructured data, improving the accuracy and efficiency of reporting on dairy ingredient performance. ● Improved data validation procedures using Python, reducing inconsistencies in inventory management and ensuring reliable stock level reporting. ● Conducted statistical analysis using R to forecast demand for extended shelf-life milk products, optimizing production schedules and reducing waste. ● Maintained data quality standards by regularly cleaning and validating datasets using SQL and Python, ensuring integrity for financial reporting.