Bucharest, Romania
Results-driven professional with a strong foundation in Python development and data engineering. Proven track record in building and optimizing automated data pipelines using Pandas, SQL, and ETL processes to drive business efficiency. Currently developing Mulberry [GitHub link: https://github.com/Stefanlazar29], a scalable vehicle management platform, leveraging FastAPI, SQLAlchemy, and cloud-based architecture to process complex datasets and automate service workflows. Analytical problem-solver with a background in business operations, skilled in root-cause analysis, troubleshooting, and query optimization. Committed to delivering high-quality, maintainable code and scalable solutions that bridge the gap between technical infrastructure and business needs. Fluent in English and ready to contribute to high-performance analytics and support teams. I am open to Remote/Hybrid roles in Romania or anywhere.
Utilizing Python and Pandas to ingest, clean, and analyze operational datasets (customer appointments, mileage, ITP status, payment logs). It turns fragmented CSV/Excel files into clear visibility of business health, identifying unpaid invoices and upcoming maintenance needs. Integrating LLM capabilities (Gemini API) to process technical vehicle documentation and repair history. This provides mechanics and service managers with simplified, human-readable diagnostics and recommendations. The platform doesn't just display data—it triggers action. Every insight (e.g., an expired ITP) is paired with an automated workflow, streamlining notifications and task management to reduce operational costs and increase revenue. Tech Stack: Python 3.14, Pandas (ETL & Analysis), FastAPI (Backend/Microservices), Google Gemini API (LLM Integration), and Server-Sent Events (SSE) for real-time UI streaming.
Real Achievements: • Developed Python inventory audit tool - Queried Magento 2 REST API to retrieve product data - Used pandas + openpyxl to process & analyze inventory discrepancies - Generated automated Excel reports identifying 400+ stock mismatches - Result: Enabled management to reconcile online vs physical inventory • Website Administration - Managed Magento 2 e-commerce platform (lemanoir.ro) - Troubleshot admin authentication issues (reCAPTCHA interference) - Optimized database queries, improved system performance Technologies: Python, Magento 2, REST APIs, pandas, Excel automation, SQL basics, Linux Key Learning: Full development lifecycle from requirement to automated reporting