Hamza T.

I help businesses and teams solve practical problems with Python and machine learning, while bringing 4+ years of professional SEO experience working with US-based agencies and service businesses. My ML work includes credit card fraud detection, customer churn prediction, anomaly detection and image classification. I work with Python, pandas, scikit-learn and PyTorch across data preprocessing, exploratory analysis, model training and evaluation. I have hands-on experience with Logistic Regression, Random Forest, XGBoost and deep learning, using metrics such as precision, recall, F1 score, ROC-AUC and confusion matrices. I also built a cloud-native churn prediction application using FastAPI, PostgreSQL, Docker and Kubernetes, taking the project from model training to a working prediction and monitoring system. I am currently completing my Master's in Computer Science at Blekinge Institute of Technology in Sweden, with coursework and projects in Machine Learning, Deep Learning, Applied AI and Cloud Computing. Alongside ML, I am a Top Rated Upwork freelancer with $10K+ earned and 4+ years of SEO experience. My work covers Local SEO, Technical SEO, Google Business Profile optimization, SEO audits, schema, internal linking, GA4, Google Search Console, WordPress, Duda, Screaming Frog, Ahrefs, SEMrush and BrightLocal. Before moving deeper into machine learning, I built 4+ years of professional experience working with US businesses, which also gave me strong client communication and project ownership experience.