Bidisha Das is a data scientist with nine years of engineering experience, currently at Fidelity Investments after a recent data role at Equinix. She has built anomaly-detection software for parental-control routers, implementing three detection algorithms on network traffic in Python, and earlier contributed C++ features for Portable Stimulus Standards in VLSI verification. Combining hands-on software development with a formal MS in Quality Management Science from the Indian Statistical Institute, she bridges rigorous validation practices and practical analytics. Bidisha has transitioned from embedded and hardware-focused engineering to data analytics and business-focused projects, making her adept at translating low-level signal patterns into actionable insights. Open to internships and projects, she brings a disciplined, verification-minded approach to model reliability and anomaly detection in production settings. An international outlook (currently based in Bengaluru) and interdisciplinary training in electronics and quality science give her a unique perspective on robustness and reproducibility in data-driven systems.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Quality management science, Master of Science - MS, Quality management science at Indian Statistical Institute
Bachelor of Technology - BTech, Electronics and communications engineering, A+, Bachelor of Technology - BTech, Electronics and communications engineering, A+ at West Bengal University of Technology, Kolkata
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