A monorepo for the Statsify Discord Bot

Next-generation analytics & ML-powered churn prediction for Solana gaming. Self-training models predict player churn 14 days in advance. Live dashboard + REST API analyzing 60M+ on-chain transactions across 12 games.

End-to-end machine learning project predicting online gaming engagement levels using classification models and Streamlit deployment.

Gaming, CRM, Fintech ve WFM gibi 6 farklı sektörde; Retention, Churn, Whale Analysis ve RFM Segmentasyonu gibi kritik iş problemlerini SQL ile çözümlediğim kapsamlı bir portfolyo çalışmasıdır.

Analyzed 400+ records across 25 countries (2010-2025), identifying 17.7% CAGR in gaming revenue and Europe-Asia market dominance (65%+ share). Built interactive Tableau dashboard revealing 22.5% COVID revenue spike and key market insights.

Predicting player churn in online games using XGBoost: 99% accuracy, 91% recall. Includes business context and retention strategy.

Machine Learning project to predict online gaming engagement levels using Decision Tree, Random Forest, AdaBoost, XGBoost, Voting Classifier, and Stacking Classifier.

🛡️ 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.

Gaming analytics project for player engagement prediction, persona segmentation, and model-driven retention insights.

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

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.

NPS and churn risk analysis for a battle royale game using Python and Tableau, identifying key satisfaction drivers and retention risks.

Arc Raiders performance dashboard

Interactive Tableau dashboard visualizing Pokémon game mechanics and statistical trends across 8 generations. Demonstrates proficiency in data storytelling, dynamic filtering, and turning raw gaming data into actionable insights.

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

Fundamental research on FPS aim biomechanics. An interactive, high-performance web dashboard deconstructing neuromotor control spectrums across CS2, Overwatch 2, and Apex Legends. 100% skill coverage analytics.

Two-stage pLTV framework for mobile gaming: Cox PH + Gradient Boosting survival models predict player churn risk; LightGBM + Random Forest predict 180-day revenue. 88 tests, 27 visualisations, stakeholder-ready docs.

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

GameTuner Unity Tracker SDK for sending events data from games

Analyse von über 50.000 League of Legends-Spielen (EUW) mit Python & Machine Learning. Fokus: Spielerstatistiken, Champions, Spells & Vorhersagemodelle. Tools: Pandas, Seaborn, Scikit-Learn, Random Forest, K-Means. Ziel: Muster erkennen & Spielausgänge vorhersagen.