Yogesh Soniwal — Director of Engineering
Data scientist with 11+ years of experience designing and deploying large-scale ML systems at Target, Walmart, Paytm, and Samsung. Expertise includes search ads monetization, synthetic control for campaign lift, budget allocation via optimization, and multi-objective reinforcement learning. Applied ML across domains including programmatic advertising, credit risk modeling, customer behavior analytics, and medical image processing. Skilled in translating complex business objectives into production-grade models. Currently working as a Director of Data Science at Target’s Roundel (Ad Tech), leading measurement and forecasting data science efforts.
Stackforce AI infers this person is a Data Science expert specializing in Ad Tech and Fintech industries.
Location: Bengaluru, Karnataka, India
Experience: 14 yrs 3 mos
Skills
- Data Science
- Machine Learning
- Predictive Modeling
- Ad Tech
- Credit Risk Modeling
- Image Processing
Career Highlights
- 11+ years of experience in data science.
- Led significant ad revenue optimization projects.
- Expertise in machine learning and predictive modeling.
Work Experience
Target
Director Data Science (Ad Tech) (5 mos)
Lead Data Scientist (3 yrs 1 mo)
Career Break
Health and well-being (2 mos)
Walmart Global Tech India
Staff data scientist (5 mos)
Senior Data Scientist (2 yrs 1 mo)
Paytm
Senior Data Scientist (1 yr 7 mos)
OVID Capital LLC (Pervazive/Thunkworx)
R&D Head (Data Science) - Consultant (1 yr 8 mos)
Finomena
Data Scientist (4 mos)
Samsung Electronics
Senior Software Engineer (1 yr 4 mos)
National Taiwan University
Visiting Scholar (0 mo)
Cardiac Design Labs
Software Developer Intern (2 mos)
Indian Institute of Technology Kanpur
Student (4 yrs 11 mos)
Education
Master of Technology (M.Tech.) at Indian Institute of Technology, Kanpur
Bachelor of Technology (B.Tech.) at Indian Institute of Technology, Kanpur