Hazem Yasser | Data Science & ML Portfolio

About My Work

I am a Computer Science & AI student at Pharos University with a deep interest in turning raw data into actionable insights. My experience spans multiple machine learning competitions on Kaggle and DrivenData, where I've tackled problems ranging from healthcare predictions to disaster damage assessment. Alongside data science, I design and develop responsive web applications that showcase clean architecture and seamless user experience. I thrive in collaborative environments and bring strong analytical thinking, effective communication, and a commitment to quality to every project I take on.

5+ ML Projects Completed

2 Competition Platforms

100% Commitment to Quality

Featured Projects & Competitions

Titanic — Machine Learning from Disaster Engineered predictive models to analyze passenger survival probability using EDA and fundamental ML algorithms on Kaggle.

Kaggle / Classification

Flu Shot Learning & DengAI Developed classification and regression models for public health outcomes on DrivenData, optimizing accuracy through rigorous preprocessing.

DrivenData / Health ML

Earthquake Damage Prediction — Nepal Utilized large-scale structured datasets to predict building damage grades, demonstrating proficiency in handling complex real-world data.

DrivenData / Regression

Heart Disease Prediction Applied statistical modeling techniques to identify key health risk factors and enhance classification evaluation metrics on Kaggle.

Kaggle / Healthcare

Interactive Demo Web Application Designed, developed, and deployed a responsive demo website to practically showcase web development capabilities and seamless UX.

Web Development

Core Competency Areas

Data Science & Analytics

Exploratory data analysis, statistical modeling, and deriving actionable insights from complex datasets using Python, pandas, and scikit-learn.

Python • EDA • pandas • NumPy

Machine Learning

Building classification and regression models, feature engineering, hyperparameter tuning, and evaluating performance with real-world competition data.

scikit-learn • Classification • Regression

Problem Solving & Analytics

Critical thinking and data-driven decision making applied to competitive ML challenges and real-world project scenarios.

Analytical Thinking • Strategy

Web Development & Communication

Responsive web design, clean UI/UX, effective collaboration, and clear communication of technical results to diverse audiences.

HTML/CSS • Responsive • Teamwork