Data Scientist & ML Engineer · Caserta, Italy
M.Sc. Data Science @ Università degli Studi della Campania Luigi Vanvitelli
B.Eng. Telecommunications @ NED University, Karachi
I build machine learning systems that solve real problems — from detecting COVID-19 in chest X-rays to predicting network equipment failures before they happen. My background in Telecommunications Engineering gives me a practical edge in network analytics, IoT, and edge AI.
I'm currently finishing my Master's thesis on Applied Machine Learning for Intrusion Detection Systems, where I design end-to-end data pipelines and evaluate predictive models on real network traffic data.
Open to Data Scientist, ML Engineer, and Data Analyst roles across Europe.
| Project | Description | Tech |
|---|---|---|
| Predictive Maintenance — CNN Model | Forecasts equipment failures in telecom networks · 93.6% accuracy | Python, TensorFlow, Keras |
| COVID-19 Detection from X-Rays | Classifies COVID-19 vs pneumonia vs normal · 96%+ accuracy | TensorFlow, Inception-v3 |
| Heart Disease Prediction | Feature selection, regularised regression, bootstrap validation | R, ggplot2, caret |
| Dengue Spread Analysis | Statistical modelling of disease spread patterns | Python, pandas, statsmodels |
Languages: Python · R · SQL · C++
ML / DL: TensorFlow · Keras · PyTorch · Scikit-learn · CNNs · GANs
Data: Pandas · NumPy · Matplotlib · ggplot2 · Statistical Analysis (ANOVA, VIF, PLS)
Other: Data Pipelines · SQL Databases · Git · LAN/WAN Networking
- 📧 aahson45@gmail.com
- 📍 Caserta, Italy — open to relocation across Europe
- 🟢 EU Blue Card eligible · Available immediately upon graduation