Rajesh Madhipati

Developed an AI-based market intelligence product from requirements analysis and proof-of-concept to full-scale automated deployment, using Firecrawl, Pypeteer and Microsoft Azure to automate competitive news scraping, significantly reducing manual effort. Engaged with cross-functional business units to gather requirements and developed a RAG-based chatbot utilizing GPT-4 and Langchain for interacting with internal documents and implemented an evaluation pipeline for answers generated.

Built ETL pipelines for large-scale data migration to Snowflake using custom SQL and workflows, ensuring data quality. Connected data to Qlik Sense and set up automation for real-time dashboard updates. Transformed complex financial data sets through Python and R-based data processing pipelines, creating interactive Power BI dashboards with DAX measures that drive strategic decision-making across the organization.

Developed a time series-based machine learning model using LSTM for dynamic price prediction of chemicals. Conducted complex data analysis using PCA and LDA on human sweat data to uncover correlations with activity levels. Managed system installations and oversaw network configuration and maintenance to ensure seamless IT operations.