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lalovan/README.md

Hello there 👋

👩‍💻 I’m a data-driven problem solver with a strong interest in machine learning, data science, and building innovative, end-to-end solutions. I’m currently enrolled in the AI & ML Data Science Bootcamp at BeCode.

Tools & Technologies

Languages:

Python SQL

Data Science & ML:

Pandas NumPy Seaborn  scikit-learn Jupyter

Scraping, Apps & Tools:

FastAPI Streamlit BeautifulSoup Selenium Docker  VS%20Code Power BI Microsoft Fabric

Cloud & DevOps:

Azure GitHub

🚀 What drives me

🔍 Passionate about finding robust solutions to real-world (fictionous is also fine) problems

🧠 Naturally curious — I like understanding why things work (or don't), not just how

🧪 Enjoy reading, math, exploring data, look into the details (to a healthy extent), and spotting patterns

📈 Impact, coordination, and structure are highly important to me

🌱 Constantly learning and improving

🦒 How do I put a giraffe into a fridge (...or how do I approach projects)?

  • Start by clearly understanding the problem, context, and constraints
  • Explore multiple angles before committing to a solution
  • Break complex problems into manageable, well-defined steps
  • Prioritize solutions that are robust, explainable, and scalable
  • Iterate based on feedback, results, and real-world impact

*No giraffe was harmed in the process.

🎯 Current focus

  • Deepening my expertise of Data Science and ML
  • Building portfolio projects
  • Exploring opportunities at the intersection of AI and entrepreneurship, in diverse fields (e.g. mental health, agriculture)

Pinned Loading

  1. Real-estate-price-prediction-Regression Real-estate-price-prediction-Regression Public

    (Part 3) Building a Machine Learning model based on scraped, cleaned and analysed real estate data of the Belgian market.

    Jupyter Notebook 1

  2. Real-estate-price-prediction-Data-analysis Real-estate-price-prediction-Data-analysis Public

    Forked from kristinnuyens/immo-eliza-cats-analysis

    (Part 2) This project performs exploratory data analysis on a Belgian real estate dataset to uncover market trends and key price drivers. It provides management-oriented insights and feature releva…

    Jupyter Notebook

  3. Real-Estate-Price-Prediction-Deployment Real-Estate-Price-Prediction-Deployment Public

    (Part 4) An end-to-end ML project that predicts Belgian real estate prices using a trained XGBoost model, served through a FastAPI backend and deployed with a public Streamlit web application.

    Python

  4. Wikipedia-Scraper Wikipedia-Scraper Public

    This repository implements a Wikipedia scraper that retrieves data on world leaders via the Country Leaders API and enriches it with content from Wikipedia. It includes both procedural and OOP impl…

    Jupyter Notebook

  5. CV-motivation-chatbot CV-motivation-chatbot Public

    A retrieval-grounded LLM assistant that answers questions about my CV and professional motivation as a Data Scientist, in any language.

    Python 1