Sanyog Sharma is a Staff Product Manager with 8 years of experience building data-driven discovery products such as search and recommendation engines, and currently shaping product strategy at Nium. He blends hands-on data science, algorithm design, and data engineering to take 0-to-1 products to scale, having owned features serving millions of daily users. His expertise spans model building and validation, relevancy and autosuggestion optimization, A/B testing, funnel tracking, and production data pipelines using tools like Hive, Elasticsearch, SQL, R, and Tableau. With a background that includes product leadership at Paytm, Khatabook, and Maya, he is comfortable translating statistical insight into product decisions and resource plans. Currently pursuing advanced AI/ML study at IIT Hyderabad, he brings recent research interest in deep learning and NLP—especially neural machine translation—into practical product use cases. An unusual strength is his dual focus on building algorithms and then instrumenting robust analytics to continuously learn from the product’s own data.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Technology (BTech), Computer Science, Bachelor of Technology (BTech), Computer Science at Jaypee University of Information Technology, Solan
Intermediate, Intermediate at Aligarh Muslim University
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