Mariyam Muhammad Saleem

I’m a Data Science student at FAST-NUCES and a Dean’s List honouree, bringing hands-on experience shipping ML models, BI dashboards, and data pipelines on real-world datasets. I’m comfortable across the full analytics stack—from raw SQL to Python-based predictive models to interactive visual reporting.

In my internship as a Data Analyst Intern at Excelerate, I cleaned and transformed 3+ real-world datasets, built interactive dashboards to surface key business KPIs, and conducted exploratory data analysis that cut time-to-insight for the team. I enjoy turning messy data into reliable analysis and then into actionable stakeholder decisions.

Beyond industry work, I’ve mentored 30+ students per session as a Lab Demonstrator in SQL, C, and C++, and I support learning through rigorous problem-solving. My selected projects—like a Heart Disease Prediction Model using Python and Scikit-learn, and IoT Smart Home Energy Analytics with PostgreSQL ETL and dashboards—reflect my drive to benchmark, quantify impact, and keep improving how I ship data products.