Projects
Welcome to my portfolio! This is where I showcase my projects and share my journey in the world of AI, Data Science, and Python. Feel free to explore and learn more about the real-world sports problems I've tackled using machine learning, data analysis, and analytics.
Data Analysis and Visualization
Data Scientist
In alignment with the Sustainable Development Goals (SDGs), I advanced green energy adoption in the Netherlands by promoting electric vehicles (EVs) in low-income communities. I created visualizations that highlighted the economic benefits of EVs, including fuel and maintenance savings, and demonstrated the significant reduction in CO2 emissions. These insights effectively conveyed the dual benefits of cost savings and environmental impact, supporting a greener and more sustainable future for the Netherlands
Machine Learning Engineer - Waste Classification System
Deep Learning Engineer
I developed a machine learning-based application for classifying images into recyclable and non-recyclable categories. This involved creating and training an image classifier model to accurately identify waste types, aiding in efficient recycling efforts. The app provided actionable insights to improve waste management practices and support sustainability goals.
Data Engineer and Machine Learning Specialist
Machine Learning Engineer
I developed a predictive alert system for ANWB to enhance road safety and optimize insurance premiums. My role involved analyzing data with SQL, creating machine learning models to assess driver risk, and integrating these models into an app that adjusts insurance fees based on driving behavior. This solution aimed to reduce accidents and provide more accurate insurance pricing.
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