Hassan Isaq
Data Science Student
Kobenhavn N,84
Summary
Master’s student in Data Science with strong analytical skills and hands-on experience in machine learning, data processing, and visualization. Experienced in building end-to-end ML pipelines using Python and scikit-learn, with a keen interest in applying data-driven solutions to real-world challenges such as forecasting and resource optimization.
Overview
2026
2026
years of professional experience
4
4
Languages
Work History
Laboratory Assistant
Herlev Hospital
2021 - Current
- Tracked collected specimens by initialing, dating, and noting times of collection.
- Actively participated in lab safety inspections, identifying potential hazards and implementing corrective actions promptly.
- Facilitated timely completion of experiments by maintaining a well-organized workspace and efficient workflow.
- Trained new laboratory personnel on standard operating procedures, ensuring consistent performance across team members.
Sales Assistant & Deputy Manager
Telenor
2017 - 2021
- Handled customer inquiries, complaints, and returns professionally, ensuring a positive experience for all clients.
- Increased sales by building strong customer relationships and providing excellent service.
- Helped customers locate products and checked store system for merchandise at other sites.
- Assisted customers in making informed decisions by offering detailed product knowledge and comparisons.
Education
Master of Science - Data Science
06-2026
Data Mining & Machine Learning, Databases, Programming for Data Science, Statistics for Data Science, Web Development.
- Completed Coursework: [Data Mining & Machine Learning], 2025 june
- Completed Coursework: Multivariat Statistisk Analyse, [2025]
- Completed Coursework: Introduktion til Sundhedsdata, 2025
- Completed Coursework: Statistik for Data Science, 2024
- Clustering Analysis (K-means & DBSCAN)
Implemented and compared clustering algorithms on Iris and R15 datasets. Tuned hyperparameters (eps, min_samples), evaluated performance with Silhouette score (0.75 for K-means), and visualized results with scatterplots. - Classification Models Comparison
Conducted empirical evaluation of classification algorithms on UCI datasets. Used Python (scikit-learn, pandas) for preprocessing, model training, and evaluation with multiple performance metrics. - Machine Learning Pipelines
Developed end-to-end ML workflows in Python, including data cleaning, feature engineering, model training, validation, and visualization of results.
Bachelor of Science - B.Sc. in Biomedical Laboratory Science – Copenhage
01-2024
Skills
Programming & ML: Python (pandas, NumPy, scikit-learn), R, basic TensorFlow/Keras
Data Visualization: Matplotlib, Plotly, Dash
Databases & Tools: SQL (PostgreSQL), Jupyter, RStudio
Machine Learning: Classification, clustering, regression, model evaluation, hyperparameter tuning
Data preprocessing & feature engineering – applied in multiple ML projects
Model evaluation techniques – accuracy, precision, recall, ROC/AUC, cross-validation
Hyperparameter tuning – GridSearchCV, RandomizedSearchCV in scikit-learn
Version control & collaboration tools – Git/GitHub for teamwork and reproducibility
Statistical analysis & regression – applied methods from statistics courses, relevant for forecasting and demand prediction
Visualization & reporting – Power BI (basic), Matplotlib, Seaborn, Plotly
Timeline
Laboratory Assistant - Herlev Hospital
2021 - Current
Sales Assistant & Deputy Manager - Telenor
2017 - 2021
University of Southern Denmark - Master of Science, Data Science
B.Sc. in Biomedical Laboratory Science - Bachelor of Science, B.Sc. in Biomedical Laboratory Science – Copenhage