Indranil Bhattacharyya
Data Scientist @ Renault Group || Data Science @ IIT Madras || GCP & AWS Certified AI & ML Professional || MSc Chemistry || Machine Learning Project Mentor @ IIT Madras
- Role
- Data Scientist at Renault Group
- Location
- Kolkata, WB, IN
- LinkedIn followers
- 500 followers
About Indranil Bhattacharyya
As a Data Scientist at Renault Nissan Technology & Business Centre India, I leverage my skills in data analysis and computer vision to develop innovative solutions that enhance business efficiency and decision-making. I have successfully developed an end-to-end pipeline for automated extraction of structured key information from procurement documents, reducing manual review efforts. I have also improved the data quality and efficiency of an internal tool by contributing to its web scraping module.In addition to my professional experience, I am passionate about mentoring and guiding students through their capstone projects at the Indian Institute of Technology, Madras. I provide mentorship on research methodology, data analysis, and professional reporting to help students translate raw data into meaningful business decisions. I am also a Level 1 Viva Examiner at the same institution, where I evaluate the quality of the notebooks and perform preliminary checks for the students. My goal is to apply my expertise in data science and chemistry to create positive impact in various domains.
Experience
Data Scientist
Jul 2024 — Present · Chennai, IN
Developed an end-to-end pipeline for automated extraction of structured key information from procurement documents, significantly reducing manual review efforts. • Improved the data quality and efficiency of an internal tool by contributing to developing its web scraping module. • Delivered presentations to business users, explaining key findings and demonstrating the value and impact of the solutions developed. Trained and optimized YOLOv9 Object Detection model to accurately detect engineering symbols, improving mean Average Precision (mAP) from 30% to 70%. Implemented custom image augmentation techniques to enhance accuracy. • Designed and executed a proof of concept (POC) to predict HPC storage usage trends, leveraging Machine Learning techniques and ensuring better storage cluster efficiency. • Implemented a proof of concept using Microsoft\'s Table Transformer detection model, reducing manual extraction time to 2 seconds when extracting key information related to engineering drawing
Education
Indian Institute of Technology, Madras
Bachelor's degree, Data Science & Applications
University of Calcutta
Bachelor's degree, Chemistry
2015 — 2018
Vidyasagar University
Master's degree, Chemistry
2019 — 2021
Find verified contacts for anyone on LinkedIn
Unifers gives sales teams verified emails and direct dials, enriched profiles, and outreach that lands in the inbox.
Free plan included · No credit card required
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.