Swapnil Gusani is a Staff Data Scientist based in Mumbai with 11 years of experience building ML/AI-powered applications, recommendation and advanced search systems, and scalable microservice architectures. He has progressed through technical and leadership roles at PharmEasy, where he now drives data science strategy and delivery while mentoring teams and translating complex models into measurable business outcomes. A hands-on practitioner, Swapnil combines research-oriented training from IIT Bombay (M.Tech. CS) with practical production expertise gained across startups and enterprises. He contributes to open-source tooling for real-time market data—enhancing backend reliability and test coverage for an NSE data library—which reflects his attention to robust engineering and reproducibility. Known for blending technical innovation with product focus, he consistently prioritizes impact, operational rigor, and team growth.
11 years of coding experience
11 years of employment as a software developer
Bachelor of Engineering (B.E.) Electronics and Telecommunication Engineering, Bachelor of Engineering (B.E.) Electronics and Telecommunication Engineering at KJ Somaiya College of Engineering, Vidyavihar
Realtime Data From National Stock Exchange (India)
Role in this project:
Back-end Developer
Contributions:7 commits, 2 PRs, 10 comments in 5 days
Contributions summary:Swapnil primarily contributed to the back-end logic of the `nsetools` library, focusing on extracting real-time data from the National Stock Exchange (India). Their commits included minor changes and bug fixes across multiple files, including updates to the `nse.py`, `setup.py`, `utils.py`, `docs/source/usage.rst`, `tests/nse_tests.py`, and `docs/source/changelog.rst` files. The user added support for getting F&O lot sizes and resolved a specific file-matching issue, enhancing the functionality and reliability of the library. They also added test cases.
Contributions:7 commits, 7 pushes, 1 branch in 1 year 10 months
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