Prasang Biyani
Data Scientist
Pune, Maharashtra, India
Summary
👤
Senior🎓
Top SchoolPrasang Biyani is a data scientist with a decade of hands-on experience building production-grade AI systems, specializing in predictive modeling, recommendation engines, NLP, and edge-deployed deep learning. At Accenture AI he delivered high-impact solutions—XGBoost bid-winning models with 95% precision, word2vec recommendation engines, and end-to-end MLOps pipelines—while engineering scalable Flask APIs and Azure CI/CD for real-time inference. His earlier work optimizing CNNs and integrating deep models on RockChip and Raspberry Pi demonstrates a rare blend of low-level C/C++ SDK expertise and cloud-native deployment skills. Comfortable across the ML stack from Transformers and vector databases to TensorFlow and Scikit-Learn, he also contributes to open-source projects and writes technical blogs to distill applied research. Curious about frontier science, he explores intersections like Quantum Biology, bringing a research-minded rigor to practical, production-focused AI.
10 years of coding experience
3 years of employment as a software developer
Master of Science in Computer Science: Artificial Intelligence and Machine Learning, Artificial Intelligence and Machine Learning, Master of Science in Computer Science: Artificial Intelligence and Machine Learning, Artificial Intelligence and Machine Learning at ScalerB.Tech, Electronics & Communication, 8.06, B.Tech, Electronics & Communication, 8.06 at CHAROTAR UNIVERSITY OF SCIENCE AND TECHNOLOGY
English, Hindi, Gujarati
Github Skills (43)
scene-text9
factorization8
svd8
lstm8
latin8
image-processing8
arabic8
data-mining7
devanagari7
python7
amazon-rekognition7
optical-character-recognition7
cyrillic7
recommender7
deep-learning6
Programming languages (3)
Github contributions (5)
prasangg/prasangg
Oct 2022 - Mar 2025
Contributions:14 pushes, 1 branch in 2 years 5 months
Prasang-Biyani/walmart-categorical-profiling
Aug 2022 - Jan 2023
Contributions:8 commits, 7 pushes, 1 branch in 5 months
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