• Led statistical analysis of game mechanics, player behavior, and infrastructure performance providing actionable insights for decisions concerning game design and tracking metrics.
• Created and maintained Looker dashboards tracking critical in-game performance metrics and technical KPIs, enabling data-driven decision making at management level.
• Applied statistical methods to evaluate game feature performance and player engagement patterns, leading to core feature fixes and improvements.
• Defined and implemented new KPIs for measuring technical performance.

• Natural Language Processing and Machine Learning
  – Implemented NLP models for topic modeling and sentiment analysis on diverse textual data sources, such as
  Steam forum posts, game reviews, and customer feedback.
  – Developed a product that integrated a Transformer-based sentiment analysis model with a Slack bot, enhancing
  the community management team’s response time.
  – Implemented supervised machine learning models to predict in-game player behavior and churn.
  – Applied unsupervised machine learning techniques and embedding models to classify players into distinct per-
  sonas based on behavior and textual data, leading to changes in game development and more targeted marketing
  campaigns.
  – Performed network analysis on wishlisted game titles, uncovering cross-genre player interests and informing game
  marketing and development strategies.
• Data Engineering
  – Collaborated with game developers to design and implement in-game telemetry logging, capturing key player
  interactions and performance metrics, and integrating it with AWS Redshift.
  – Created and scheduled custom web scraping tools using Python to extract Steam platform data (reviews, forum
  posts, user-owned games, user-friends lists, wishlists) and store them in a NoSQL database.
• Data Visualization and Reporting
  – Developed interactive dashboards, presenting KPIs and in-game metrics to various stakeholders, resulting in an
  increase in data-driven decision making by senior managers.
  – Generated reports on player behavior, game performance, sales, revenue, and market trends, informing business
  strategy and product development.
•  Statistical Modeling and Analysis
  – Applied statistical techniques to get insights into various aspects of the business, such as player behavior, market-
  ing campaign effects, sales and revenue forecasting.
• Business Impact
  – Collaborated with managers, executives and board members to develop data-driven business strategies.
  – Worked closely with the marketing teams to translate data science insights into marketing campaign actions im-
  proving customer acquisition rates.
  – Established key performance indicators (KPIs) for the company’s main games.

Link to doctoral dissertation https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-481316

• Expertise in differential equations, dynamical systems theory, matrix algebra, evolutionary game theory, and adaptive dynamics, with a focus on eco-evolutionary feedback models.
• Applied adaptive dynamics and game theory principles to analyze the interactions of biological organisms in resource competition and species coexistence.
• Presented research findings at international conferences and published in peer-reviewed journals.

Key projects

• Multi-trait Eco-Evolutionary Model: Developed a mathematical model analyzing the impact of the co-evolution of multiple biological traits on the potential for biological diversification.
• Adaptive Plasticity in Resource Competition: Developed an agent-based model to simulate the effects of phenotypic plasticity on species competition for resources.
• Life-Cycle Complexity and Biological Diversification: Developed a novel mathematical and agent-based model investigating the impact of the co-evolutionary dynamics of resource acquisition traits on biological diversification of organisms with complex life-cycles (e.g. frogs, fishes, insects).
• Life-Cycle Complexity and Community Assembly: Worked on developing a novel mathematical and agent-based model investigating the impact of complex life cycles on species coexistence and ecological community structure.

• Performed bioinformatic analyses.
• Statistically analyzed genomic data using bash, Python and R.
• Performed statistical modelling (Approximate Bayesian Computation, clustering).
• Presented research findings via oral communications in multiple conferences in Brazil.
• Wrote one research paper.
• Taught lectures in the Population Genetics course for Biology undergraduates

Education & SKills

MSc Artificial Intelligence

Stockholm University

Interrupted 2023

PHD Mathematical evolutionary biology

Uppsala University, Sweden

2022

MSC population genetics

Universidade Federal de Minas Gerais, Brazil

2015

BA philosophy

Universidade Federal de Minas Gerais, Brazil

2012