Tasos Nikoleris
Senior Data Scientist Ii @Credit Karma
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WORK HISTORY
Senior Data Scientist Ii @Credit Karma
Los Angeles, CA, US
Led the development and deployment of the AI risk model for CK\'s Drive Score, enhancing user engagement. • Built a recommender system for CK’s auto insurance marketplace, a 0-to-1 project that involved several teams across engineering, marketing, and product; defined the vision, built the roadmap, and delivered a production system that improved user engagement and conversion. • Led a cross-team project implementing causal modeling techniques for app decisioning, aligning with the company’s content recommendation strategy.
EDUCATION
National Technical University of Athens
Bachelor's degree, Civil Engineering
University of California, Berkeley
Doctor of Philosophy (PhD), Civil Engineering
University of California, Berkeley
Master of Science (M.Sc.), Civil Engineering
SKILLS
ABOUT TASOS NIKOLERIS
Data science leader with a proven track record building and managing high‑performing teams that deliver measurable outcomes in fintech marketplaces. Led partner decision science at Credit Karma for 3+ years, providing technical leadership on cross‑functional initiatives that scaled the Lightbox pre‑approval platform while onboarding marquee banking and fintech partners. Expert in recommender systems and marketplace ranking—designing relevance, eligibility, and personalization strategies that connect members to high‑odds, high‑value financial products at scale.Specialize in bridging executive strategy and technical execution: partnering with VP‑level stakeholders to align goals and prioritize product roadmaps, then translating them into experiments, data pipelines, and decisioning services that move key business metrics. Known for turning ambiguous, zero‑to‑one problems into shipped products—identifying high‑value opportunities, shaping problem definitions, and architecting solutions that move from prototype to production with clear measurement and guardrails. Strengths include problem discovery, rapid iteration from insight to MVP, and operationalizing decisioning and ranking systems with rigorous experimentation and durable data foundations.Recent work has also spanned insuretech, including usage‑based insurance experiences and marketplace integrations that leverage telematics and alternative data to drive personalized savings and better risk signals for carriers and consumers.
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