I’m a data scientist, Drishti Idnani, focused on solving real-world problems through thoughtful, data-driven strategy. My experience ranges from leveraging analytics automation at Intel for forecasting to implementing data analytics solutions at ASUS, along with mentoring teams across AI communities. I strive to bring clarity and structure to complex challenges.
ASUS
Led analytics automation across product and operations teams, enhancing data analytics capabilities. Built dashboards and an end-to-end data platform that translated complex data into real-time, actionable insights.
Intel
Developed demand forecasting models for global production planning, integrating macroeconomic indicators to improve stability and decision-making across the supply chain. As a data scientist, I focused on leveraging data analytics to optimize operations.
Academic & Mentorship Work
Presented research at BITI 2025, reviewed papers for ICETM 2025, and mentored AI teams, including those led by Drishti Idnani, across national hackathons and student communities.
When I'm not diving deep into data analytics, I’m fully immersed in the world of Formula 1—tracking race strategy, team radio, and tire compounds with the precision of a race engineer. I love discussing driver dynamics, analyzing split-second decisions, and sharing the thrill of the sport with fellow fans. Beyond motorsport, I enjoy curating thoughtful travel experiences, coordinating group trips, and exploring new places through food and culture. As a data scientist, I'm also deeply committed to mentorship—supporting emerging talent in tech and data science, including initiatives like Drishti. I always find time for creative projects, event planning, and storytelling, and I’m passionate about analytics automation to enhance my workflow.