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I'm Gerard Martínez Canelles, a Senior Data Scientist / AI ML Engineer based in Barcelona. I combine mathematics, business acumen, and hands-on ML to identify high-impact opportunities, guide product strategy, and drive measurable improvements in user engagement and revenue. I thrive working with cross-functional teams to translate data insights into actionable business decisions. I also enjoy teaching and mentoring; I teach Applied Mathematics for Management, Descriptive Statistics & Probability and Business Data Analytics at ESADE, and I value clear communication of complex analytics to non-technical stakeholders.…I'm Gerard Martínez Canelles, a Senior Data Scientist / AI ML Engineer based in Barcelona. I combine mathematics, business acumen, and hands-on ML to identify high-impact opportunities, guide product strategy, and drive measurable improvements in user engagement and revenue. I thrive working with cross-functional teams to translate data insights into actionable business decisions. I also enjoy teaching and mentoring; I teach Applied Mathematics for Management, Descriptive Statistics & Probability and Business Data Analytics at ESADE, and I value clear communication of complex analytics to non-technical stakeholders.

Gerard Martínez Canelles

Data Scientist, AI Engineer, AI Strategy Consultant, +5

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I'm Gerard Martínez Canelles, a Senior Data Scientist / AI ML Engineer based in Barcelona. I combine mathematics, business acumen, and hands-on ML to identify high-impact opportunities, guide product strategy, and drive measurable improvements in user engagement and revenue. I thrive working with cross-functional teams to translate data insights into actionable business decisions. I also enjoy teaching and mentoring; I teach Applied Mathematics for Management, Descriptive Statistics & Probability and Business Data Analytics at ESADE, and I value clear communication of complex analytics to non-technical stakeholders.…I'm Gerard Martínez Canelles, a Senior Data Scientist / AI ML Engineer based in Barcelona. I combine mathematics, business acumen, and hands-on ML to identify high-impact opportunities, guide product strategy, and drive measurable improvements in user engagement and revenue. I thrive working with cross-functional teams to translate data insights into actionable business decisions. I also enjoy teaching and mentoring; I teach Applied Mathematics for Management, Descriptive Statistics & Probability and Business Data Analytics at ESADE, and I value clear communication of complex analytics to non-technical stakeholders.

Available to hire

I’m Gerard Martínez Canelles, a Senior Data Scientist / AI ML Engineer based in Barcelona. I combine mathematics, business acumen, and hands-on ML to identify high-impact opportunities, guide product strategy, and drive measurable improvements in user engagement and revenue. I thrive working with cross-functional teams to translate data insights into actionable business decisions.

I also enjoy teaching and mentoring; I teach Applied Mathematics for Management, Descriptive Statistics & Probability and Business Data Analytics at ESADE, and I value clear communication of complex analytics to non-technical stakeholders.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

Catalan; Valencian

Fluent

Spanish; Castilian

Fluent

English

Advanced

French

Intermediate

Work Experience

Senior Data Scientist / AI ML Engineer at King

December 1, 2023 - Present

Identified and scoped high-impact business opportunities by analyzing Candy Crush IAP product offering; built business cases, guided implementation through ML, and established monitoring frameworks to ensure measurable and continuous improvement. Explored automated ML workflows using LangChain, including text-to-SQL tools and automated A/B test reporting powered by LLMs for internal use.

Senior Data Scientist at King

February 1, 2023 - December 31, 2023

Embedded in the Candy Crush In-App Purchase (IAP) team. Acted as a strategic partner to product leadership, translating player and pricing insights into concrete proposals shaping monetization and feature development. Led ML-driven player segmentation and monetization strategy across primary and potential payer segments. Ran different pricing research initiatives using Conjoint Analysis, MAxdiff, and Gabor-Granger methodologies.

Data Scientist at King

April 1, 2020 - February 28, 2023

Led cross-functional reviews with product managers, using retention, LTV, and monetization metrics to guide roadmap prioritization and long-term strategy. Designed and deployed predictive models focused on payer behavior and personalization, directly contributing to improvements in player lifecycle management and revenue optimization.

Junior Data Scientist at King

September 1, 2018 - April 30, 2020

Part of King’s central analytics consulting team. Produced network-level strategic analyses enabling leadership to assess portfolio health and allocate resources across franchises. Developed scalable clustering and segmentation solutions to characterize a 150M+ player base.

CRM Data Scientist Intern at King

June 1, 2018 - September 30, 2018

Built and deployed a daily payer propensity model, also driving the related product proposal.

Academic Collaborator at ESADE

September 1, 2024 - Present

Academic Collaborator teaching Applied Mathematics for Management, Descriptive Statistics & Probability, and Business Data Analytics to BBA students.