Marcellinus Ryan Gunawan's repositories
FootballAnalytics
This project uses data from Football Manager to build a team profile at season's end, identifying areas for improvement. By combining statistical analysis and Data Envelopment Analysis (DEA), the study aims to pinpoint players who provide optimal value based on performance metrics, guiding player acquisition and disposals.
TelecomChurnPrediction
Leveraging Kaggle data, it aims to aid telecom firms in preemptive churn management for improved customer retention and business performance. This project applies various ML models with XGBoost, trained with Train-Test Split, attains 96.58% accuracy as the best accuracy score.
SalesForecasting
Engaged in a collaborative effort with a company seeking to implement machine learning for forecasting purposes. Employed Time Series Analysis using data spanning 2019 to 2023, evaluating three distinct models. The model with the optimal error score was selected to project values for 2024.
VisualAnalytics
In collaboration with a company specialising in talent development for young footballers, a project has been undertaken to design player profiling and player development visualisations using Power BI. This initiative serves as the subject of a dissertation for an MSc in Business Analytics: Operational Research and Risk Analysis.