Making data analytics meaningful, explainable, and actionable through analytics automation
Making data analytics meaningful, explainable, and actionable through analytics automation
About Drishti Idnani
About Me
I’m a data scientist, 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.
Experience Highlights
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, across national hackathons and student communities.
Interests
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.