Zahir Bennour

Highly motivated graduate student pursuing a Master’s in Data Analytics with hands-on experience in data analysis, mathematical modeling, and statistical techniques. Proficient in SQL, R, and Python, with a strong background in data visualization, regression analysis, and predictive modeling. Adept at utilizing data analytics software to generate actionable insights and support data-driven decision-making. Additionally, bring three years of experience as a Distribution Center Associate, where I honed skills in inventory management, logistics optimization, and process improvement. Seeking an internship to apply analytical skills and contribute to impactful data-driven projects, leveraging both technical expertise and practical experience to drive business success.

• Certified in Microsoft Excel for Data Analysis
• Tableau Desktop Specialist Certification

Data Analytics Capstone Project, Bejaia
May 2016

• Overview: Led a project analyzing large datasets to identify key trends and derive actionable insights.
• Responsibilities: Conducted in-depth data analysis, created interactive dashboards using Power BI and Tableau, and developed predictive models with RStudio.
• Results: Delivered actionable insights that supported strategic decision-making and improved operational efficiency.
• Skills Developed: Advanced data visualization, predictive modeling, data storytelling.

Data Visualization for Ekal Vidyalaya USA
Fall 2023

• Overview: Managed a data-focused project for a non-profit, creating a detailed project charter and plan.
• Responsibilities: Cleaned and preprocessed data with RStudio and Power BI, developed a live data visualization dashboard using Power BI and Google Sheets, and maintained regular communication with stakeholders.
• Results: Enabled data-driven decision-making with custom reporting features and interactive dashboards.
• Skills Developed: Data cleaning, project management, data visualization.

Predicting Asthma Using BRFSS Data
Spring 2024

• Overview: Developed a predictive model to identify risk factors and forecast asthma likelihood using BRFSS data.
• Responsibilities: Extracted and cleaned data, performed exploratory data analysis (EDA), engineered features, and applied machine learning algorithms including logistic regression and decision trees with RStudio. Created interactive dashboards using Power BI and Tableau.
• Results: Provided insights to inform public health interventions and policy-making related to asthma.
• Skills Developed: Data cleaning, feature engineering, machine learning, data visualization, statistical analysis.