Developed Data On Demand (DOD), an end-to-end enterprise solution powered by Generative AI, designed to enable seamless interaction with Excel Sheets, CSV files, and SQL databases. This innovative agent leverages advanced chain-based reasoning and Retrieval-Augmented Generation (RAG) techniques to provide actionable insights from structured data. Utilizing custom AI agents and the memory features of LangChain, DOD enhances user interactions by maintaining context and delivering personalized responses. At the core of DOD is a robust Flask API that ensures efficient data handling and smooth integration with existing systems. The solution is built for scalability and resilience, with deployment on Google Cloud using VM instances, making it ideal for handling large datasets in real time. Additionally, I implemented CI/CD pipelines to streamline the deployment process, ensuring continuous updates and system improvements. DOD empowers businesses by transforming raw data into meaningful insights, enabling smarter decision-making and enhancing operational efficiency across the organization.

• Spearheaded a 3- month job as Jr. Data Scientist at Omdena’s local chapter in Madagascar, contributing to a global team of 50+ members. Successfully led the extraction of data from the internet using web scraping techniques for a comprehensive analysis of worldwide fake job postings.• Applied advanced Natural Language Processing (NLP) transformation to meticulously clean the collected data, subsequently playing a pivotal role in the development of a cutting-edge Deep Learning Model aimed at detecting fraudlent job postings on a global scale.

• Conducted extensive market analysis in the Indian electric vehicle (EV) industry, resulting in actionable insights to increase sales by a notable 15%. Analyzed EV datasets to identify strategic growth areas and formulate plans to boost market share by a significant 10% within two quarters.• Played a pivotal role in reducing churn rates in the telecommunication sector through data-driven strategies, achieving an impressive 8% reduction and contributing to a 12% increase in customer retention