🎯 Aspiring Data Analyst transitioning from automotive engineering to data-driven roles.
💼 Currently focused on:
- Data Cleaning & Analysis (SQL, Excel, Python)
- Data Visualization with Matplotlib, Seaborn, Power BI & Tableau
- Web Scraping (Selenium & BeautifulSoup)
- Building dashboards and auto 5C51 mating reports
🧠 I love transforming raw data into clear insights that help improve decision-making. Whether it's understanding customer behavior or analyzing trends, I enjoy discovering the "why" behind the numbers.
🔧 Tools & Technologies:
- Languages: Python, SQL, HTML
- Libraries: Pandas, NumPy, Matplotlib, Seaborn, Selenium, BS4, Flask
- BI Tools: Power BI, Tableau
- Automation: UiPath (beginner)
- Other: Git, GitHub, Excel
📊 Check out my projects:
- Sales data simulation with SQL
- Google Play Store app analysis (Python & Pandas)
- Layoff trends and funding analysis (MySQL)
🚗 Past life: I spent several years as an automotive engineer at the Romanian Auto Registry, working on vehicle homologation and technical inspections. That experience gave me a strong eye for detail, a structured mindset, and a passion for solving real-world problems.
🚀 Currently studying Python development and always eager to learn new tools and techniques.
📫 Let's connect:
Feel free to check out my projects, give feedback, or reach out if you're interested in collaborating!