Sayantika Banik is a founder and coach with a decade of experience building design-first data and AI systems powered by open source. She combines hands-on data engineering and product instincts—developing ETL pipelines, modular dashboards, and reproducible workflows—with startup grit from founding multiple ventures, including a creatively scaled art platform and finance inclusion efforts. As founder of DataJourneyHQ and an independent consultant she helps organizations improve developer experience and deploy scalable, responsible AI while mentoring SMEs on strategy. An active open-source contributor, she has improved NumPy documentation and contributed to metrics tooling like Conbench, underscoring her focus on clarity and reproducibility. Her background blends technical depth from roles at Twilio, Quansight, and Voltron Data with business training from ISB and innovation exposure at MIT, making her equally fluent in code, design, and stakeholder storytelling.
10 years of coding experience
5 years of employment as a software developer
MIT Innovation Leadership Bootcamp, MIT Innovation Leadership Bootcamp at Massachusetts Institute of Technology
Bachelor of Engineering - BE, Bachelor of Engineering - BE at Visvesvaraya Technological University
AMPBA Business Analytics, AMPBA Business Analytics at Indian School of Business
The fundamental package for scientific computing with Python.
Role in this project:
Technical Writer
Contributions:5 reviews, 6 commits, 5 PRs in 1 month
Contributions summary:Sayantika primarily focused on documentation updates within the NumPy repository. Their commits modified NEP (NumPy Enhancement Proposal) files, and documentation related files, indicating a focus on clarifying and improving documentation. The changes involved formatting, sentence case corrections, and updates to NEP files.
Curated list of presentation delivered in various conferences
Contributions:28 commits, 1 PR, 20 pushes in 2 years 11 months
deliveredconferencespresentation
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