Making data meaningful, explainable, and actionable.
Bridging data, research, and mentorship with clarity and impact.
Making data meaningful, explainable, and actionable.
About Drishti Idnani
About Me
I’m a data scientist focused on solving real-world problems through thoughtful, data-driven strategy. From forecasting at Intel to automation at ASUS, and mentoring teams across AI communities, I bring clarity and structure to complex challenges.
Experience Highlights
Intel
Developed demand forecasting models for global production planning, integrating macroeconomic indicators to improve stability and decision-making across the supply chain.
ASUS
Led analytics automation across product and operations teams. Built dashboards and end-to-end data platform that translated complex data into real-time, actionable insights.
Academic & Mentorship Work
Presented research at BITI 2025, reviewed papers for ICETM 2025, and mentored AI teams across national hackathons and student communities.
Interests
When I’m not diving deep into data, 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.
I’m also deeply committed to mentorship—supporting emerging talent in tech and data science—and always find time for creative projects, event planning, and storytelling.