Kshitij Verma is an Associate Data Scientist with 8 years of experience building recommendation engines, personalization algorithms, and data-driven marketing solutions across e-commerce and research settings. He has driven measurable improvements in homepage personalization and campaign performance at Snapdeal and now applies scalable ML and big-data tools like Spark and Hadoop at Roundglass. Comfortable with Python, SQL and production data stacks, he pairs statistical rigor with stakeholder-centric prioritization to optimize revenue and margins. His background spans research internships at IIT Delhi and hands-on product work, giving him both experimental depth and delivery focus. Based in Delhi, he actively networks for collaborations in predictive modeling and product personalization. He also brings practical familiarity with web technologies and APIs (noted in his GitHub interests) that help bridge data science and engineering teams.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering - BE, Electronic and Communications Engineering, Bachelor of Engineering - BE, Electronic and Communications Engineering at Thapar Institute of Engineering and Technology
Contributions:2 PRs, 7 pushes, 4 branches in 10 days
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