Available to hire
I’m Yohan Medalsy, a Senior Data Scientist and independent AI consultant with 8+ years across gaming, marketing technology, and asset management. I’ve built production ML systems and measurement frameworks that drive growth, including ~25% ROAS uplift via MMM and retention improvements through churn modeling.
I have a strong background in statistics, time-series, optimization, and reinforcement learning, delivering solutions with Spark/Databricks/Airflow/AWS and modern data stacks. I enjoy turning data into business value and collaborating across teams to ship impact at scale.
Language
Hebrew (modern)
Advanced
English
Fluent
French
Fluent
Work Experience
Independent AI Consultant at Independent AI Consultant
May 1, 2025 - PresentProviding end-to-end ML/AI solutions for multiple clients: developing contextual bandit system for game monetization; building LTV forecasting and ROI-driven decisions; designing agentic content workflows and an AI ghostwriter for social posts; prototyping and backtesting a quant trading algorithm.
Senior Data Scientist at Huuuge Games
May 1, 2021 - March 1, 2025Led end-to-end data science initiatives for Huuuge Casino and Marketing; built production ML/AI pipelines (Python, Spark/Databricks) for marketing decisioning; owned MMM pipeline driving ~25% ROAS uplift; developed embedding-based look-alike targeting and propensity/LTV scoring; improved UA efficiency; built churn/disengagement prediction; improved D7/D30 retention; productionized pipelines with Databricks, Airflow, monitoring, and documentation.
Data Science Tech Lead at Imprint Social
February 1, 2020 - April 1, 2021Led AI/Data Science across R&D and business stakeholders; built NLP classification pipeline for X (Twitter) to identify high-impact posts and micro-influencers; hired and mentored Data Scientists; established best practices for experiment design, offline metrics, and launch readiness.
Quantitative Analyst at Asset Management
May 1, 2016 - April 1, 2018Managed global quantitative equity strategies (~$3M AUM) delivering ~20% annualized returns (net of fees) with ~5% max drawdown and Sharpe ~3.4; created a second Israeli-market strategy (~$8M AUM) delivering ~15% annualized returns with ~8% max drawdown and Sharpe ~3.1; automated fund and back-office workflows in VBA; produced risk analytics and supported derivative pricing.
Education
BSc Actuarial Mathematics at Concordia University
September 1, 2010 - June 1, 2013Data Science Elite Fellowship at Israel Tech Challenge (ITC)
March 1, 2019 - September 1, 2019Qualifications
BSc Actuarial Mathematics
September 1, 2010 - June 1, 2013Data Science Elite Fellowship
March 1, 2019 - September 1, 2019Industry Experience
Gaming, Media & Entertainment, Financial Services, Professional Services, Software & Internet
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