Ake Charyyev
Data Scientist Ai Engineer @Teez
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WORK HISTORY
Data Scientist Ai Engineer @Teez
Bucharest, RO
Project: Teez – AI-Powered Sports Team Management PlatformDeveloped intelligent, data-driven systems to help coaches optimize team performance and make strategic decisions through predictive analytics and AI automation.Designed and implemented machine learning models, automated workflows, and real-time analytics pipelines to deliver actionable insights on player performance, attendance, and game outcomes.Key Achievements:Built and deployed ML models predicting player performance and game results with ~75% accuracy.Developed automated data pipelines for real-time analytics and ETL using Python and n8n.Designed AI-driven recommendation systems for optimal team lineups and training focus.Integrated Dify for natural language analytics and interactive AI insights.Created performance dashboards visualizing predictive data and key team metrics.Scaled data processing and model deployment using AWS and Docker.Core Skills:Python (FastAPI, Pandas, Scikit-learn, PyTorch) · Machine Learning & Predictive Modeling · Data Pipelines & Automation (n8n) · AI Orchestration (Dify) · Time-Series & Statistical Analysis · AWS (S3, RDS, SageMaker) · Docker · MLflow
EDUCATION
Universitatea Româno-Americană din București
Bachelor's degree, Computer Science
Trailhead by Salesforce
Admin
FAU Erlangen-Nürnberg
Master's degree , Data Science
Trailhead by Salesforce
Developer
ABOUT AKE CHARYYEV
Master\'s candidate in Data Science at FAU Erlangen-Nürnberg, specializing in machine learning, statistical modeling, and predictive analytics. Experienced in transforming complex datasets into strategic business insights using Python, R, and advanced analytics frameworks. Skilled in developing data-driven solutions, building predictive models, and implementing scalable data pipelines. Strong collaborative approach to cross-functional projects with focus on delivering actionable insights that drive business impact. Passionate about applying cutting-edge data science techniques to solve complex real-world problems.
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