🌍 Based in Bordeaux, France | 🌐 LinkedIn
I'm a recently converted techie, who's eager for new professional challenges and collaborations that will allow me to continue to boost my skills.
My particular interests and current expertise are in Data Analytics, Python, Backend programming, NLP and automating ETL pipelines.
After completing an initial phase of training at the WildCodeSchool, I am now following an 18-month work-study cursus at l'Ecole Microsoft by Simplon.
Throughout my education and personal projects, I have continued to perfect skills in:
- Exploratory Data Analysis (EDA) (Python)
- Data cleaning & preprocessing (SQL, Pandas, NumPy)
- Data visualization (Power BI, Tableau, Matplotlib, Seaborn)
- Data interpretation & Insights
- Machine learning models (Supervised and Unsupervised, Scikit-Learn)
- Natural language processing (NLTK, spaCy)
- ETL & Data Pipelines (rest APIs, PostgreSQL, DBT, automation)
- Backend Development (Python)
- Version control & Collaboration (Git, Github)
My attention to detail, active listening skills, transparency and perseverance guarantee that I'm always providing my collaborators with high-quality insights and solutions.
- 💼 **Current interested in work in **: MLOps Data Science and Junior Python Developer (Backend) and excelling in an uplifing, collaborative environment
- 🎓 Education: Programming & Data - Professional Certification, Bac+4 (Wild Code School) | Master in Linguistics - Discourse Analysis (Sorbonne Nouvelle) | Master in Publishing and Professional Writing (Sorbonne Nouvelle)
- 🤝 Looking to collaborate on: Open-source data science projects
- 📫 How to reach me: Email
- Programming Languages:
- Libraries & Frameworks:
Seaborn, NLTK, spaCy, regex
- Data Analysis & Visualization Tools: Tableau, Power BI, Excel (Conditional Formatting, Pivot Tables)
- Analytical
- Curious
- Detail-oriented
- Active Listener
- Organized
- Collaborative
- Adaptable
- Perseverant
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Late Aircraft Prediction System, Late Aircraft Analysis Dashboard (Tableau), Customer Review Sentiment Analysis: A ML model to predict if an aircraft would be late on arrival, accompanied by a dashboard analyzing trends of flights in the US that take off or arrive late, and an exhaustive analysis of customer reviews and satisfaction notes for specific airlines.
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[Film Recommendation System, Dashboard Analyzing trends in films and cinema admissions in France (Power BI)](link to be provided): A ML-based recommendation system for a local cinema (hosted locally via Streamlit) coupled with a Dashboard analyzing trends in films (most popular genres & actors) and cinema admissions in France
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[Dashboard for a Toys & Models Company](link to be provided): A comprehensive BI dashboard covering sales, finance, logistics, and HR metrics
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[Crime Prevention Dashboard in Tableau](link to be provided): A Descriptive analysis project focusing on analyzing trends in crimes recorded in India and finding solutions for implementing preventative measures.
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(Data For Good - Season 13: STOP Cyberviolence): Analyse de l'état des lieux de la cyberviolence vécue par les jeunes (10-15 ans) en France, développement d'outils de pilotage pour les décidaires, conception et aide au développement d'un chatbot spécialisé dans la détection de cyberviolence, conseils et support
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(Data For Good - Season 13: OD&IS): L'automatisation du pipeline Backend d'une application web qui visant à accompagner les personnes réfugiées en France avec leurs démarches liées à la recherche d'emploi, l'accès au logement, la scolarisation et les services locaux.
- Reading (thrillers, critical essays), e-learning methods, dance (Afro/Dancehall, Street)
