• Conducted comprehensive sales data analysis using machine learning techniques to enhance upselling and cross-selling strategies.• Developed sales enhancement strategies that optimized product sales and profitability on Amazon, Walmart, and eBay.• Analyzed products on Amazon, Walmart, and eBay to uncover successful sales factors.• Conducted A/B tests to boost customer engagement and sales performance.• Developed time series models for strategic revenue and profitability forecasting.• Conducted sentiment analysis on product reviews using web scraping and NLP techniques, increasing actionable customer feedback by 20% and identifying key areas for product improvement• Utilized RFM and cohort analyses to improve customer retention and engagement patterns.• Developed recommendation systems based on customer preferences and purchase history, enhancing personalized recommendations and sales.• Engineered ML algorithms to predict Amazon's Buy Box percentage, optimizing product positioning and win rates.• Developed a Chatbot utilizing NLP and machine learning to assist customers with inquiries and provide personalized recommendations.• Utilized machine learning and deep learning techniques for basket analysis, identifying frequently co-purchased products and enhancing upselling and cross- selling strategies.• Conducted sentiment analysis on product reviews using web scraping and NLP techniques to extract insights, increasing actionable. customer feedback by 20% and identifying key areas for product improvement.• Developed time series models to forecast future revenue and profitability, leveraging historical data for strategic planning.• Proficient in data visualization tools like Tableau and Power BI, I consistently provided insights that drove business growth.• In a real-time market environment, footage captured by cameras was analyzed using OpenCV to determine individual dwell times.