Acquired critical thinking, problem-solving, and data analysis skills through rigorous academic study, facilitating effective information extraction from complex datasets. Proficient in programming, modeling, and data visualization, contributing to improved decision-making processes. Committed to exploring the intersection of artificial intelligence and data-driven strategies, with a focus on continuous learning in this dynamic field.
Project: "Analysis of Beijing P.M. 2.5 Data set."
Conducted model validation and selection using stepwise regression in R.
Compared the influence of 6 key variables on Beijing PM2.5 levels to identify significant factors.
Project: "The Regression Study of the Fire Forest in the Bejaia Region."
Performed linear regression model building and assumption checks (including independence and multicollinearity assessment).
Analyzed relationships between fire weather index and environmental factors (temperature, relative humidity, wind speed, rain).
As team lead, coordinated tasks, reviewed member contributions, and liaised with the instructor.
Project: "Stratified Analysis and Model Comparison of Mental Health Factors in Canada."
Executed sampling strategies (simple random and stratified sampling) representative of the Canadian population.
Fostered efficient team collaboration to identify and address core research questions.