Prabin B. Email and Phone Number

➡️ Conducted time series and trend analysis on loyalty program features using SQL, Python, and Excel, resulting in a 13% increase in transaction value and a 7% boost in customer retention. ➡️ Generated comprehensive reports and visualizations using Tableau and Power BI, presenting findings to stakeholders to guide marketing strategies and improve campaign effectiveness.➡️ Implemented data analytics techniques to analyze customer sales data from retail stores, utilizing SQL, Python, and Excel to extract, clean, and manipulate large datasets, leading to improved sales forecasting accuracy.➡️ Collaborated with cross-functional teams to translate complex data into actionable insights, supporting strategic decision-making processes and enhancing project outcomes, which led to more efficient project execution.

➡️ Created visualizations using Tableau that contributed to a 10% sales growth in Q4 of 2022 by helping stakeholders monitor KPIs like Best Sellers Rank (BSR) and competitor count.➡️ Utilized SQL and Python for data extraction, transformation, and analysis, leading to the development of data-driven solutions that improved decision-making processes.➡️ Validated data, identified discrepancies and sourcing issues, and analyzed consumer behavior data to pinpoint sales trends that resulted in more accurate sales forecasts.➡️ Addressed data inaccuracy and sourcing issues, enhancing operational efficiency and contributing to a 15% increase in sales and revenue.