Results-oriented data analyst with hands-on experience in SQL, Python, and Excel for data cleaning, analysis, and automation. Developed macros that reduced report processing time by 30% and built dashboards that supported key academic and operational decisions. Skilled in visual storytelling using Tableau and Power BI, and well-versed in statistical modeling, machine learning, and database management. Known for analytical thinking, adaptability, and a strong ability to transform complex data into actionable insights.
Data analytics and research: SQL (queries, joins, subqueries), Excel (automation, pivot tables), KPI tracking, dashboard reporting (Power BI, Tableau), ad-hoc data validation, forecasting, exploratory data analysis (EDA), academic data processing (TES)
Programming and data science: Python, R, SQL, NumPy, Pandas, Scikit-learn, TensorFlow, Jupyter Notebooks
Data visualization and BI tools: Tableau, Power BI, Matplotlib, Seaborn
Database management: MySQL, PostgreSQL, MongoDB, Oracle SQL, Entity Framework Core
Web development and software: HTML, CSS, JavaScript, Bootstrap, ASPNET Core (MVC)
Tools and productivity: Advanced Excel, PowerPoint, Google Sheets, Microsoft Office 365, Google Workspace, Microsoft Dynamics 365
Soft skills: analytical thinking, problem-solving, communication, teamwork, multitasking, attention to detail, fast learner, proactive mindset
Languages: French (fluent), English (professional proficiency)
Heart Disease Prediction (Capstone, UCI Dataset)
Titanic Survival Analysis
Responsive Web App (ASP.NET Core)
Auction Price Forecasting (Course Project)