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.
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.
End-to-end machine learning project predicting online gaming engagement levels using classification models and Streamlit deployment.
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.
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.
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 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.
🛡️ 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.
GameTuner Query Engine is responsible for executing the queries that are built from API requests.
NPS and churn risk analysis for a battle royale game using Python and Tableau, identifying key satisfaction drivers and retention risks.
GameTuner Enrich Bad Sink loads data from bad events topic to BigQuery
My aim in this project was analyze video game sales across the globe. My analysis concludes certain country to be targeted for buisness.
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.
Interactive Power BI presentation exploring key insights into video game sales by region, platform and genre
🎮 League of Legends match data collection and analysis pipeline with AI-powered insights via OpenRouter
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.
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.
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