Chinmay Pradhan
Associate Partner
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolChinmay Pradhan is an Associate Partner at KPMG India with 20+ years of experience leading AI-first digital transformations for Fortune 500 clients across Healthcare, BFSI and IT/ITES, consistently delivering over $100M in ROI. A two-time founder who built, scaled and exited AI ventures, he combines product-led engineering with enterprise advisory—helping CXOs define target operating models, AI governance and GenAI deployment strategies. His hands-on background ranges from architecting award-winning web AI products and MLOps workflows to driving operational excellence and low-attrition delivery teams of 50+. Known for turning complex data health, NLP and talent-analytics problems into production systems, he also helps new GCCs establish AI-native delivery centers. Based in Bengaluru, he pairs a strong engineering foundation with an IIM Bangalore business analytics credential and an uncommon knack for blending compliance, change management and rapid product iteration.
8 years of coding experience
13 years of employment as a software developer
Certificate Course in Business Analytics and Intelligence, Certificate Course in Business Analytics and Intelligence at Indian Institute of Management, BangaloreBE, BE at RV College Of EngineeringHigher Secondary, Higher Secondary at Ravenshaw CollegeHigh School, High School at Stewart School
English
Github Skills (5)
algorithm4
image-processing3
opencv3
qr-code2
database1
Programming languages (3)
Github contributions (5)
Chinmay2911/portfolio
Nov 2022 - Aug 2024
Contributions:49 pushes, 4 branches in 1 year 9 months
Chinmay2911/Player_detection
Apr 2019 - Nov 2019
Player detection and ball detection in Football videos There are multiple ways to detect players in any sports videos.Here I have used simple image processing techniques to detect players by only using opencv. It detects first the green ground and make everything other then green color into black.After converting into greyscale I have found contours on the ground.By using some parameters we will detect players. Here I have used the video of France VS Belgium match.So for further detection, I have used the color of their jersy to segment them.For france We will detect the blue jersy and then for belgium we will detect the red jersy. Algorithm: First we will read the video. Detect the Green ground. Use morphological operation for better detection. Find contours. Detect players. Segment them by France or Belgium. Detect the football. You can see the code in player_detection.py and the video used is cutvideo.mp4.
Contributions:13 commits, 6 PRs, 9 pushes in 7 months
image-processing
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