Hi, I'm Ridwan
Data Scientist | Python, SQL, ML, Power BI | Building Data-Driven Solutions

Data Analysis
Machine Learning
SQL & Databases
About Me
Passionate about turning data into actionable insights that drive real impact
Hi, I'm Ridwan, a data scientist with a background in computer science and over 5 years of experience creating educational content in Mathematics and Computers & Technology.
These days, I build practical, end-to-end data solutions using Python, SQL, and Machine Learning. My work spans MLOps, predictive modeling, and deployment with recent projects ranging from a stock market ETL pipeline to health-related risk prediction models.
I'm especially interested in solving problems in finance and healthcare, but I don't box myself in. If data can be used to uncover insights or drive impact, I'm all in.
Feel free to explore my projects, and if you'd like to collaborate or chat, don't hesitate to reach out!
My Expertise
A comprehensive toolkit for solving complex data challenges across industries
Data Analysis & Visualization
Machine Learning & NLP
Tools & Technologies
Featured Projects
Real-world solutions showcasing expertise in data science, machine learning, and analytics
Economic Recovery Dashboard
Built a real-time dashboard that tracks economic recovery using FRED API data, FastAPI backend, & prompt-engineered responses for interactive frontend.
Stock Market ETL Pipeline
Developed a robust ETL pipeline to extract, transform, and load historical stock market data, ensuring data quality and availability for analysis.
FraudDetect System
Built a real-time fraud detection system using highly imbalanced data (0.3% fraud), achieving at least 83% precision, recall, and F1-score on both classes.
Knowledge Gap Analysis
Segmented students using clustering analysis and visualized grade predictions and knowledge gaps with Power BI for targeted support.
hERG Blocker Classification
Developed a Dockerized ML pipeline for cardiotoxicity prediction with 89.4% ROC-AUC, using engineered molecular features and SMOTE for improved class detection.
Bitcoin Volatility Prediction
Predicted Bitcoin price volatility using GARCH, delivering actionable insights on daily (3.63%) and annual (69.31%) fluctuations to optimize trading strategies.
MedNet Diagnosis System
Built medical diagnosis system with 85% accuracy for early disease detection and applied topic modelling to derive insights from patient data.
Financial Education Recommender
Developed content-based recommender with cosine similarity and clustering to personalize financial education and boost engagement.
UCL 2024/25 Prediction Model
Engineered key features and built regression model with 84% accuracy. Successfully predicted 7 of top 8 teams and 14 of next 16 teams in final standings.
Atlanta Crime Analytics
Created an interactive crime dashboard using Power BI, providing key insights into crime patterns, COVID-19 effects, and forecasting trends.
CareWomb Platform
Developed CareWomb, a maternal health platform integrating predictive analytics and personalized recommendations to support safer pregnancies.
Let's Work Together
Have an interesting project or just want to connect? I'd love to hear from you.