A complete Streamlit + Machine Learning + SHAP + NLP project to analyze, predict, and improve player retention in games. This project simulates a game environment, models churn behavior, and provides insights using SHAP, NLP word clouds, and strategy simulators.

GameTuner Enrich Bad Sink loads data from bad events topic to BigQuery

GameTuner Unity Tracker SDK for sending events data from games

GameTuner is a data platform, specialized in mobile gaming, built on top of Snowplow Open Source data pipeline. It comes with preset BI tool and integrations. We focused on satisfying the whole business vertical needs in Mobile Gaming.

GameTuner Query Engine is responsible for executing the queries that are built from API requests.

My aim in this project was analyze video game sales across the globe. My analysis concludes certain country to be targeted for buisness.

🛡️ Herramienta definitiva para jugadores de Paladins: analiza tu historial completo, encuentra con quién ganas más, evita trolls, descubre tus mejores campeones. Input: URL de PaladinsGuru. Output: Datos accionables para mejorar tu ranked, version beta de pruebas.

🎮 League of Legends match data collection and analysis pipeline with AI-powered insights via OpenRouter

Interactive Power BI presentation exploring key insights into video game sales by region, platform and genre

GameTuner Scala Stream Collector is project for collecting raw events from tracker

GameTuner Enricher application for processing raw events

ML-driven CODM analytics: Predict player performance, optimize matchmaking, and uncover meta trends via clustering, NLP, and real-time game data.

OWCS EMEA Stage 2 2025: Full data analysis using PostgreSQL & Python - Hero meta, team win rates, bans, and more.

Team project revolving around sentiment analysis in video games

🎮 Advanced Python tool for analyzing Paladins match data from Paladins.Guru - Track relationships, champion stats, and performance with automated scraping and SQLite persistence