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FelixCharotte/README.md

Hi there 👋

About ME

Here is what is worth knowing about me, in 2 minutes top chrono! ⏱️

🔭 I'm a 2nd year student

... at Audencia Business School and Centrale Nantes following the Bachelor of Business Admistration (BBA) specialized in Big Data & Management. A lot of topics are covered in this degree but the one I'm slowly falling in love with is Machine Learning.

🌱 I’m currently learning a lot

Here is the link of all the topics covered by this degree for intrested ones. I am also working on some cool data science projects like Sentiment Analysis for trading strategies, Churn Prediction, Data Cleansing with 45+ variables, and House Price Prediction using Scikit-learn, deployed via Flask on AWS. Here you can find my Portfolio Website with more Data Viz and marketing projects and let you discover the data science and ML side here on GitHub!

🧑‍💻 Professional side

Alongside my studies, I offer occasional Marketing & Business Intelligence services for VINCI Construction and some SMEs. And working actually on AI chatbot agency for schools called ConversIA. A few years ago, I pivoted from a pure business track to something more tech-focused, and it’s been an exciting shift!

If my data analytics background interest you, go check my porfotlio!.

Right now, I’m actively looking for internships and opportunities in data science and machine learning so do not hesitate to ask anything!

⚡ Other & Fun facts

My personal motto? If you can dream it, you can do it! It’s been a little reminder since day one, and it keeps me motivated and looking forward to the next steps! Always dare and try we are like in a game building our story.

📫 How to reach me

Please reach me here on GitHub first,
Here is also my LinkedIn (There many things to discover there!👀),
Or email me at felix.charotte@outlook.fr.

And finally this is my Linktree with all my social media!

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  1. IBM_DataScience_Capstone IBM_DataScience_Capstone Public

    In this project, we predicted if the SpaceX Falcon 9 first stage will land successfully by following the data science methodology. We also summarized the results for the business stakeholders.

    Jupyter Notebook 2

  2. HousePredictions_TataHousing HousePredictions_TataHousing Public

    Data science project of real estate price prediction website, deployed using a Flask server on AWS, incorporating machine learning for price prediction and a UX HTML/CSS/JavaScript for website buil…

    Jupyter Notebook 2

  3. LoanApprovalPrediction_KaggleCompetition LoanApprovalPrediction_KaggleCompetition Public

    Loan approval prediction Kaggle project: Built a stacked model with LightGBM, XGBoost, and CatBoost, achieving a 0.9581 ROC score and identifying key approval factors.

    Jupyter Notebook 4

  4. ChurnPrediction_BCGX ChurnPrediction_BCGX Public

    Built a predictive churn model with 84% accuracy for a BCG client’s SME segment, leveraging Random Forest and feature engineering to support retention strategies.

    Jupyter Notebook 2