Subha Satya Rishitha Kodamalla

Led demand forecasting for large beverage company based on historical global sales data to predict the future
forecast using statistical methodologies
• Optimized the code to reduce time complexity by 75 percent using merge/hash techniques
• Analyzed primary products and created segmentation approach to key trends across key subareas using Synthesio
• Created 10 Tableau and Power BI dashboards to showcase forecasting analysis to present to business stakeholders
• Spearheaded an Amazon review Sentiment analysis project, utilizing the Latent Dirichlet Allocation (LDA)
algorithm to discern sentiment from customer reviews. By employing LDA and Topic Modeling, I extracted
underlying patterns and themes within the reviews, providing 70 percent reacted positive where as 30 percent gave
negative mainly in packaging and delivery issues

Transformed data repository of 50,000 species entries into optimized structure for storage and downstream
processing tasks involving Business Intelligence
• Created a dashboard to showcase recommendation for storage space required based on current knowledge repository
size having cross-functional species