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Mohit Challa

adidas Japan K.K. / Manager, Data Science東京

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Mohit Challa

adidas Japan K.K. / Manager, Data Science

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Data Scientist

Highly motivated Data Scientist with strong engineering and business foundation. Driven critical thinker motivated to find value in data and create actionable solutions. Diverse experience in leading successful, cross-functional teams and articulating technical findings to make a business impact.

adidas Japan K.K.1年間

Manager, Data Science現在

2024年10月 - 現在

• Lead a diverse, globally distributed team of 8 members comprising of data scientists, engineers, subject-matter-experts to deliver high-impact analytics and AI/ML products that directly influence e-commerce growth and executive decision-making.

SBI2年間

Data Scientist, Manager

2023年4月 - 2024年9月

• Directed a cross-functional data science team comprising ML engineers, data engineers, and domain experts, consistently delivering analytics products and security solutions aligned with high-impact business outcomes.

JERA Co., Inc.2年間

Data Scientist

2021年4月 - 2023年3月

• Delivered high-value AI solutions for Japan's largest energy provider, significantly enhancing operational efficiency and reliability. • Owned the full AI product lifecycle — from conception and system design to deployment and adoption — ensuring alignment with strateg

Sony3ヶ月

Data Scientist (Consultant)（副業）

2022年1月 - 2022年3月

As a Data Science consultant at Sony, I collaborated with various companies within the Sony group in Japan and India to identify and assess the feasibility of AI/ML and data-driven solutions in the global market.

UIcommons Inc.6年間

Project Manager (LMS)

2016年6月 - 2021年3月

- Conceptualize, design, and manage the development of a Learning Management System (LMS). - Manage a team of 6 members: 4 developers, 1 cloud specialist, and 1 UI/UX expert. - Execute the MVP and then incrementally add more features/functionalities

Data Scientist

2015年5月

• Conducted advanced analysis of user data using machine learning to optimize customer acquisition and retention, significantly reducing costs and expanding market share. • Designed and deployed a predictive recommender system that increased DAU, MAU, and total purchase volume through personalized user engagement strategies.