Durgaprasadu P

Client: Hindustan Unilever Limited, Bangalore

• Functional & technical leadership in developing Gen AI/AI/ML roadmap and guiding the team with end-to-end delivery (design, development, maintenance, and optimization) of advanced solutions with focus on process standardization and best practices.
• Oversee client and account management, ensuring commercial alignment and successful delivery of solutions
• Successfully delivered various chatbots solutions using Azure Open AI GPT model and solutions that uses the advanced computer vision capabilities to track the warehouse personals safety.

Clients: Regeneron Pharmaceuticals, Waltus Kluwer, SMBC and Aspire Financials

• Lead and managed a cross-functional team of 15 members (Data Scientists, BI Developers, Data Engineers, and Business Analysts) to deliver innovative AI/Analytical solutions
• Developed an AI-powered HR chatbot, utilizing OpenAI ChatGPT and LangChain to automate HR policy inquiries, enhancing employee experience
• Implemented a BERTopic-based system for automated analysis of 'Notice of Event' reports, improving the accuracy and efficiency of pattern identification
• Created a real-time computer vision application to detect policy violations (e.g., unauthorized mobile use) with YOLOR pre-trained models, enabling rapid incident logging and reporting
• Designed and deployed Power BI dashboards with dynamic row-level security for sales order analysis, improving visibility and decision-making
• Built and deployed a robust Marketing Mix Model (MMM) to optimize digital marketing spend and increase ROI across various channels

Clients: Uniqlo

• Designed multivariate time series models using ARIMA, VARMAX, and Facebook Prophet to forecast fashion apparel trends, aiding raw material procurement
• Developed a computer vision solution using RCNN for tagging brands on fashion products, optimizing inventory and merchandising strategies

• Led a team of data scientists while delivering multiple analytical projects focused on customer behavior and operational performance
• Developed a sentiment analysis model for retail products, driving a 5% increase in sales of high-rated products
• Created a content-based recommendation system, leveraging both text and image data, which resulted in a 4% revenue increase
• Implemented customer segmentation, churn prediction, and next-best-offer models, driving targeted marketing and improved customer retention
• Led the development of interactive Power BI dashboards to provide business insights and performance metrics

• Extracted and presented HR data from SAP BW, providing detailed reports to management
• Automated weekly sales reports, reducing turnaround time by 25%, contributing to improved monthly sales indices

• Designed and drafted aircraft components using CATIA software
• Developed custom Fortran code for mesh grid deflection studies and conducted stress analysis using MSC Nastran, Patran, and HyperMesh