Richa Kushwaha is a Data & Applied Scientist II with 8 years of experience applying ML and research-driven engineering to IoT analytics and recommendation systems. She has built scalable, hybrid recommendation solutions that blend neural collaborative filtering and matrix factorization to tackle cold-start problems for smart home devices, and has applied similar ML/DL approaches to energy optimization for solar vs grid consumption. Currently at Microsoft on Windows Experiences and Devices, she brings production-focused research from her senior ML roles at Samsung R&D Bangalore and IIIT Hyderabad training experience. Richa combines hands-on pattern mining and Spark experience with strong experimentation and stakeholder collaboration skills, and she’s particularly invested in recommender systems and NLP—skills she leverages to translate novel algorithms into product-facing features.
8 years of coding experience
3 years of employment as a software developer
Rajiv Gandhi Proudyogiki Vishwavidyalaya
M. Tech. (CSE), Computer Science and Engineering, 8.59, M. Tech. (CSE), Computer Science and Engineering, 8.59 at IIIT Hyderabad
Contributions:4 PRs, 23 pushes, 1 branch in 4 years 8 months
pythonrecommendermachine-learningmemgraphmusic
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