I’m a Data & BI Specialist with 4+ years of experience turning raw data into meaningful insights and actionable solutions.
Currently working at a US-based SaaS company, I deal with a variety of data challenges, from cleaning and transforming data, to building analytical solutions and exploring machine learning models.
My academic path started with a BSc in Engineering, but my passion for understanding and applying data led me to complete an MSc in Data Science. Since then, I’ve been combining data analytics, business intelligence, and AI to solve problems and tell stories with data.
- Analyze, transform, and visualize data for decision-making.
- Build data science and machine learning projects from scratch.
- Create BI dashboards to track KPIs and trends.
- Experiment with Generative AI to enhance feature engineering and automation.
- Share my learning projects, experiments, and case studies here on GitHub.
Languages & Libraries: Python, SQL, pandas, NumPy, scikit-learn, Matplotlib, Seaborn
Specialties: Data wrangling, feature engineering, machine learning, BI reporting, visualization
BI Tools: Power BI, Tableau
Other Tools: GitHub, Colab, Jupyter Notebook
A machine learning pipeline to predict survival in the Titanic dataset, with Generative AI-assisted feature engineering.
Result: Improved model accuracy from 81.6% → 83.2% 🎯
🔗 View Project
- Generative AI for Data Scientists Specialization
- Machine Learning Specialization
- IBM Data Science Professional Certificate
- Advanced BI reporting & data storytelling
LinkedIn | Email
⭐ If you enjoy my projects, feel free to follow me or star a repo — it motivates me to share more!