Ibrahima Medina Aaquil
College Park,MD
Summary
Results-driven data analyst with strong foundation in statistical analysis, data visualization, and business problem-solving. Skilled in Excel, Power BI, SQL, and Python with hands-on experience in cleaning, integrating, and interpreting complex datasets. Proven ability to deliver actionable insights through dashboards and reports. Strong communicator with a background in business analytics, financial modeling, and cross-functional teamwork.
Overview
2
2
year of professional experience
2
2
Certification
Work History
Teaching Assistant - Business Data Analytics
The Catholic University of America
Washington, DC
09.2024 - Current
- Facilitated R and Python labs, supporting 40+ students with data visualization and machine learning assignments
- Reviewed and graded over 50 projects, ensuring quality and accuracy in statistical analysis and code reproducibility
- Conducted weekly Q&A sessions, improving class project outcomes by 20% through targeted support
Data Operator
The Catholic University of America
Washington, DC
02.2024 - 08.2024
- Processed academic credit transfers with TES, achieving 100% accuracy.
- Developed Excel macros and pivot tables, reducing report processing time by 30%.
- Created internal documentation to enhance data integrity and resolve errors with academic departments.
Education
Master of Science - Data Analytics (STEM)
The Catholic University of America
12.2025
Bachelor of Business Administration - Financial Management
Institute of Commerce and Business Administration (ISCA)
03.2023
Skills
- Python
- R
- R Studio
- SQL
- Excel (Advanced)
- Power BI
- Tableau
- CSS
- JAVA
- HTML
- Pandas
- NumPy
- Scikit-learn
- Ggplot2
- Tidyverse
- Matplotlib
- Regression
- Classification
- Clustering
- Feature Engineering
- EDA
- Git
- Jupyter
- Google Sheets
- VS Code
- Analytical thinking
- Problem-solving
- Communication
- Teamwork
- Multitasking
- Attention to detail
- Fast learner
- Proactive mindset
Certification
- Google Data Analytics (Coursera)
- HarvardX: Machine Learning and AI with Python
Skills And Tools
Python, R, R Studio, SQL, Excel (Advanced), Power BI, Tableau, CSS, JAVA, HTML, Pandas, NumPy, Scikit-learn, ggplot2, Tidyverse, Matplotlib, Regression, Classification, Clustering, Feature Engineering, EDA, Git, Jupyter, Google Sheets, VS Code, analytical thinking, problem-solving, communication, teamwork, multitasking, attention to detail, fast learner, proactive mindset
Languages
English
Full Professional
French
Native or Bilingual
Timeline
Teaching Assistant - Business Data Analytics
The Catholic University of America
09.2024 - Current
Data Operator
The Catholic University of America
02.2024 - 08.2024
Master of Science - Data Analytics (STEM)
The Catholic University of America
Bachelor of Business Administration - Financial Management
Institute of Commerce and Business Administration (ISCA)
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