
Business & Data Analyst with a strong background in mathematics, reporting automation, and stakeholder engagement. Proven experience in translating business requirements into actionable data models, and visual insights. Adept at designing dashboards, building data pipelines, and collaborating cross-functionally in fast-paced fintech, and retail environments. Fluent in English and French, with strong skills in SQL, Tableau, Qlik, and data storytelling.
French, English
Twitter Sentiment Analysis (NLP): Built a sentiment classifier in Python using scikit-learn and NLTK on 5,000+ tweets. Achieved 82% accuracy and visualized polarity trends using matplotlib and seaborn.
Domain Info GUI Tool: Developed a Tkinter-based GUI that automates domain information extraction, providing an easy interface for non-technical users.
Emmaüs France, Volunteer Sales Assistant, 2019-07, 2019-08, Supported daily operations in a non-profit retail environment., Collaborated with international volunteers and engaged with customers in French.