With a proven track record in leveraging advanced AI and machine learning techniques, I have consistently driven significant business value across various industries. My expertise lies in transforming diverse and complex data into actionable insights, optimizing strategic decisions, and pioneering innovative AI solutions that directly impact business outcomes.As Lead Data Scientist at GeoIQ, I have led the development of RetailIQ, the flagship product of the company. RetailIQ has helped numerous brands open profitable stores by identifying the best locations in the country. My work has enabled clients in food delivery, consumer products, supermarkets, and healthcare to make data-driven decisions that enhance their strategic planning and operational efficiency. I have also demonstrated my ability to simplify complex analytics through compelling narratives, empowering clients to make informed decisions with confidence.Currently, I am pioneering the use of Generative AI to enhance user interaction and market insights. I am developing a chatbot using Large Language Models (LLMs) to answer complex queries from users. In addition, I have developed detailed shopper personas based on review analysis to inform targeted marketing strategies and enhance customer engagement. These initiatives reflect my commitment to pushing the boundaries of applied AI and delivering innovative solutions that drive business success.At Anheuser Busch Inbev, I led a high-performing team responsible for volumetric, net revenue, and marginal contribution forecasts. By integrating advanced time series modeling techniques, I significantly improved forecast accuracy, directly contributing to the company's financial planning and performance. My ability to foster robust partnerships with key stakeholders ensured that our models were aligned with real-world dynamics, driving impactful business outcomes.At Fractal Analytics, I played a pivotal role in developing innovative solutions for store mapping and prioritization by leveraging machine learning algorithms. My contributions to the Concordia platform showcased my expertise in natural language processing and data integration.At DNV GL, I led projects focused on predictive analytics for wind turbine failure forecasting. By employing advanced machine learning algorithms and meticulous project planning, I delivered high-impact solutions that enhanced operational efficiency and reliability. My ability to communicate complex technical concepts to stakeholders ensured successful project outcomes and stakeholder buy-in.