Portfolio-grade audit of a student mental health & academic pressure survey. Measures coverage and sample imbalance, runs validity checks, highlights measurement and selection bias risks, and converts messy open-text “stress causes” into a transparent taxonomy. Ships a Markdown report, figures, and a Streamlit dashboard.

Shaping an inclusive AI future by empowering women in data

Analyzing and drawing insights from historical NYPD shooting incidents data.

DataPulse: Framework for Statistical and Exploratory Data Analysis

This was the fifth and final project in the Udacity data analyst nanodegree program which took place between February 2022 to June 2022.

datacraft workshop on data biases given by Nathan Noiry and Yannick Guyonvarch (Télécom Paris) to teach good practices about biases in ML an IA

Theoretical and critical research on the impact of AI and generative models in architectural design. Analyzes authorship evolution, dataset biases, intellectual property frameworks, and new human-machine co-authorship models. Complete academic documentation.

📊 Evaluate survey quality and bias through coverage, representativeness, and measurement risk audits for reliable insights and data validity checks.