Abhishek Mungoli
Staff Applied Scientist @InMobi Advertising
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WORK HISTORY
Staff Applied Scientist @InMobi Advertising
Bangalore Urban, IN
After a fulfilling and enriching journey, I was thrilled to join InMobi—India\'s first unicorn and a global leader in mobile advertising. I came onboard to continue deepening my AdTech expertise, working in a high-impact, performance-driven environment.Currently, I’m part of InMobi’s DSP (Demand-Side Platform) business, solving complex challenges in the AdTech ecosystem. My primary focus lies in the Bidding team, where I lead the Bid Shading module—a system designed to strategically lower bids to win auctions at the best possible price, striking the right balance between win rate and supplier ROI. This work requires tight collaboration across Targeting and Supply Path Optimization teams, and involves close interaction with engineers, product managers, data scientists, and business stakeholders.We built a state-of-the-art ensemble neural network model to power bid shading—enhancing accuracy in price prediction and improving auction efficiency at scale.Beyond Bid Shading, I also contribute to Remarketing initiatives, aimed at re-engaging high-value users and driving performance for advertisers.My work spans optimizing bidding strategies, refining demand-supply alignment, and improving traffic acquisition—all geared towards winning key auctions and maximizing ROI.
EDUCATION
North Eastern Regional Institute of Science and Technology (NERIST)
Bachelor of Technology (BTech), Computer Science
International Institute of Information Technology Hyderabad (IIITH)
Masters of Technology (MTech), Computer Science
SKILLS
ABOUT ABHISHEK MUNGOLI
I work as a Staff Data Scientist at InMobi, an AdTech firm. Previously, I worked with Meesho and Walmart. I hold a master’s degree in Computer Science from and have over 9 years of experience in areas such as Supply Chain, Pricing, Fraud Analytics, Recommendation Systems, and Advertising platforms.I also create and share content on my YouTube channel, DataTrek, where I cover topics like Gen AI, Machine Learning, Statistics, industrial ML projects, ML design problems, research papers, tech blogs, and Data Science interview preparation.Outside of work, I enjoy working out and practicing & watching Mixed Martial Arts.
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