Results-driven data scientist with expertise in machine learning, deep learning, and statistical modeling. Passionate about transforming complex data into actionable insights and building intelligent systems that drive meaningful impact.
I'm passionate about solving complex problems using data science and artificial intelligence. My expertise spans machine learning algorithms, deep learning, natural language processing, and computer vision. With hands-on experience in statistical modeling, feature engineering, and predictive systems, I thrive in collaborative environments and enjoy mentoring others in the field of data science and competitive programming.
Advanced knowledge in ML algorithms and model optimization
Expert in EDA, statistical modeling, and data visualization
Proficient in Python, SQL, and competitive programming
Engineered a minority-aware voting algorithm ensuring proportional representation and fairness, reducing bias by 90% in test scenarios. Delivered a Proof of Concept in under 14 days and presented to AUC Tahrir researchers.
Predicted customer churn using advanced feature engineering and model evaluation techniques. Recognized handwritten digits using CNNs for computer vision tasks.
Taught data structures, recursion, and trees, breaking complex concepts into manageable steps. Guided students in algorithmic problem-solving and competitive programming.
Processed and analyzed NASA Greenhouse Gas Center data to identify CO₂ emission trends. Built and deployed a binary logistic regression model with 87% accuracy.
Developed a fair representation model that reduces bias by 90% using advanced DAG-based modeling and Elo rating systems for proportional representation.
Built predictive models using advanced feature engineering techniques and comprehensive model evaluation to identify at-risk customers.
Created an interactive JavaScript dashboard visualizing CO₂ emission trends with 87% accuracy using logistic regression models and NASA data.
I'm always interested in new opportunities and collaborations. Whether you have a project in mind or just want to connect, I'd love to hear from you.