Data Scientist · Gaming & Product Analytics · Statistical Modeling
Raul Brakemann
Turning gaming data into predictive models — where statistics, code, and product strategy converge.
Data science meets game economy.
Data Scientist and Software Engineer with 20+ years of experience in the gaming industry, combining data science, statistical analysis, and mathematical modeling with software engineering, simulation, and product analytics.
Hands-on experience using Python and SQL to analyze complex gaming data, investigate product behavior, validate hypotheses, develop predictive and statistical models, and build analytical tools and automation.
Strong background in game economy, product performance, probability modeling, Monte Carlo simulation, RTP, volatility, hit frequency, bonus frequency, maximum exposure, and other gaming KPIs — translating quantitative analysis into practical product and business decisions.
Currently pursuing an MBA in Data Science & Analytics at USP/ESALQ, expanding expertise in Machine Learning, Business Intelligence, modern data platforms, and advanced analytics.
Two decades of building & scaling.
Research & Development Engineer
FBM Brasil · São Paulo, Brazil- Developed Python & C# analytical tools to investigate game performance, analyze product behavior, and validate mathematical models.
- Designed and implemented Monte Carlo simulations to evaluate game behavior, estimate product metrics, and validate expected vs. observed outcomes.
- Applied probability theory, statistical analysis, and quantitative modeling to investigate complex gaming problems and evaluate hypotheses.
- Analyzed key product & monetization metrics — RTP, volatility, hit frequency, bonus frequency, maximum exposure, and game performance.
- Performed exploratory and statistical analyses to identify trends, anomalies, and opportunities for product optimization.
- Built automated analytical workflows and validation tools that improved execution speed, consistency, and scalability.
- Partnered with Product, Engineering, Development & QA to translate quantitative analysis into technical recommendations.
Systems Engineer — CMS Development
FBM Brasil · São Paulo, Brazil- Investigated production incidents and complex system behavior using SQL and data analysis.
- Analyzed operational datasets to identify trends, anomalies, root causes, and system performance issues.
- Developed SQL queries, analytical reports, and data-driven solutions supporting operational and business decisions.
- Collaborated with Product, Software Engineering, Infrastructure & Operations teams on automation and reporting.
Software Developer / Project Analyst
FBM Brasil · São Paulo, Brazil- Developed enterprise applications, database solutions, backend systems, and internal analytical/reporting tools.
- Developed and optimized SQL queries and database solutions, translating business requirements into software and automation.
- Built process automation to reduce repetitive activities and improve operational efficiency.
- Implemented data validation and troubleshooting solutions working closely with business stakeholders.
System Analyst / Programming Analyst
FBM Brasil · São Paulo, Brazil- Developed gaming, monitoring, and embedded systems using C++, C#, C, and MySQL.
- Developed software integrating gaming hardware, devices, databases, and communication systems.
- Implemented TCP/IP and serial communication protocols for embedded 2D gaming applications.
- Worked with system analysis, software architecture, debugging, and complex technical problem solving.
MBA, Data Science & Analytics
USP / ESALQEngenheiro Mecânico (Mechanical Engineering)
FEI — Faculdade de Engenharia IndustrialWhere I add value.
Data Science & Statistical Modeling
Statistical analysis, hypothesis testing, regression, predictive modeling & exploratory data analysis (EDA).
Gaming & Product Analytics
Game economy, player behavior, RTP, volatility, hit & bonus frequency, maximum exposure, RNG simulation.
Machine Learning & Simulation
CART, ensemble models, time series, Monte Carlo simulation, scikit-learn & statsmodels.
Software Engineering
Python, SQL, C++, C#, OOP, REST APIs, FastAPI, design patterns & SOLID.
Data Platforms & BI
Databricks, Apache Spark/PySpark, MySQL, Power BI, Tableau & data quality/validation.
Analytics Automation & Collaboration
Analytical tooling, AI-assisted workflows, Agile/Scrum delivery & cross-functional collaboration.
Certifications
Selected work — coming soon.
A curated collection of simulations, models, and data projects is in the works. This space will house detailed case studies on RTP modeling, ML experiments, and more.
RTP & Volatility Simulator
Monte Carlo engine for slot-game math modeling and validation.
Player Behavior Analytics
KPI dashboards & predictive models built on live gaming data.
ML / Data Science Notebooks
Applied machine learning experiments from the MBA at USP/ESALQ.
Let's build something
exceptional together.
Santos, São Paulo, Brazil