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Ecole Supérieure de la Statistique et de l'Analyse de l'Information
Data Scientist
June 26, 2026 – Present
youtube-video-summarizer
April 27, 2025 – June 9, 2025
youtube-video-summarizer — GitHub repository
View ProjectSpatiotemporal-Disease-Outbreak-Forecasting
March 21, 2025 – March 21, 2025
Spatiotemporal-Disease-Outbreak-Forecasting — GitHub repository
View Projectai-vs-human-text-detection
September 7, 2024 – September 7, 2024
A Django web app that detects if text is AI-generated or human-written using a fine-tuned BERT model. It provides real-time predictions with a confidence score. Features include a clean UI, instant feedback via JavaScript, and responsive design.
View ProjectCredit-Card-Fraud-Detection
June 3, 2024 – July 23, 2024
Credit-Card-Fraud-Detection — GitHub repository
View ProjectSurvey-Analysis-Classification-on-Substance-Use
May 7, 2024 – May 7, 2024
This project analyzes student substance use, revealing patterns, prevalence rates, and perceptions regarding drugs and alcohol. Through data visualization and statistical modeling, it uncovers behaviors like frequency of use and perceived harm, providing insights into substance use among students.
View ProjectHeart-Disease-Risk-Prediction
May 7, 2024 – May 7, 2024
Heart-Disease-Risk-Prediction — GitHub repository
View Projectresume-screening-django
April 18, 2024 – September 27, 2025
resume-screening-django — GitHub repository
View ProjectClassify-Song-Genres-from-Audio-Data
March 19, 2024 – April 15, 2024
Music Genre Classifier: Predicts Hip-Hop or Rock based on Echonest data. Explores trends with pandas/seaborn. Implements PCA, logistic regression, decision trees with scikit-learn.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards data science and machine learning, which aligns with a Data Scientist role. However, the projects are all personal and lack details on collaboration or team dynamics. The listed experience is a future role, not current or past, making it difficult to assess cultural fit based on professional experience. The breadth of technologies used is somewhat narrow, primarily focusing on Python and Jupyter Notebook for data science tasks, with some web development technologies for UI.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's experience level is listed as 0, and there are no completed psychometric or English tests to provide insights into communication, teamwork, or stress handling.