Ayan Gadpal
Senior Data Scientist
Pune, Maharashtra, India
Summary
👤
Senior🎓
Top SchoolAyan Gadpal is a Senior Data Scientist with seven years of experience building ML and computer vision solutions, notably authoring a CVPR 2020 paper and contributing to an open-source table-detection repo used for ICDAR evaluations. At Monsoon CreditTech he has led research-to-production projects—delivering risk and fraud models for top Indian banks, automating model deployment and reporting, and creating feature-engineering APIs that materially improved model performance. He combines strong research credentials with practical product delivery, including auditing governance-compliant risk models and integrating prediction APIs with LOS systems. Comfortable across Python, R, distributed SQL and deployment stacks, he also brings hands-on CV expertise from industry internships in autonomy and document-parsing systems. Known for shipping fast under tight timelines, he pairs academic rigor with a focus on reproducibility and measurable business impact.
7 years of coding experience
2 years of employment as a software developer
Diploma, Computer Science, 84 %, Diploma, Computer Science, 84 % at Government Polytechnic GondiaBachelor of Engineering - BE, Information Technology, 9.92 CGPA, Bachelor of Engineering - BE, Information Technology, 9.92 CGPA at Pune Institute of Computer Technology
English, Marathi, Hindi
Stackoverflow
26reputation
2kreached
1answer
0questions
Github Skills (11)
computer-vision10
python10
evaluation10
metric10
image-processing9
machine-learning9
pdf-processing8
keras6
deep-learning6
transfer-learning6
efficientnet6
Programming languages (3)
Github contributions (5)
DevashishPrasad/CascadeTabNet
Apr 2020 - Jan 2021
This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"
Role in this project:
ML Engineer
ML EngineerContributions:37 commits, 3 PRs, 34 pushes in 8 months
Contributions summary:Ayan contributed significantly to the project by implementing and integrating evaluation scripts for table detection. This included writing a script to evaluate multiple PDF files, calculating precision, recall, and F1 scores, and uploading the official ICDAR 13 evaluation tool. They also uploaded dependencies for the evaluation tool, demonstrating a focus on model performance assessment and reproducibility. Additionally, the user made changes to a data preparation script, possibly related to image processing techniques for table detection.
end-to-enddeep-learningapproachrecognitiontable-detection
AyanGadpal/TextTron-Lightweight-text-detector
Dec 2020 - Jan 2021
Contributions:1 release, 39 commits, 6 pushes in 19 days
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