Aboubacar AhmedMaouloud Portfolio

MA in Applied Mathematics And Data Science| Junior Data Analyst(In progress) Skilled in SQL,python and Excel. I'm open to internship opportunities and keen to discuss any projects or ideas you have! @Aboubacar AhmedMaouloud.

February 10, 2024

Movies Correlation With Python

In this project, we analyzed a movie dataset to explore correlations among numerical features. Leveraging Python libraries such as Pandas, Seaborn, and Matplotlib, we conducted data manipulation, visualization, and analysis to uncover valuable insights.

February 06, 2024

Covid-19 Data Exploration

Covid-19

In this project, we utilize SQL Server to explore global COVID-19 data, aiming to strengthen SQL skills and gain hands-on experience in data exploration and analysis.

February 08, 2024

Data Cleaning in SQL

In this project, we focus on cleaning and enhancing the NashvilleHousing dataset using a series of SQL queries. The objective is to streamline the dataset by standardizing data formats, populating missing values, and removing duplicates for improved analysis and usability.

About me

👋 Hello! I'm Aboubacar AhmedMaouloud, a passionate enthusiastic in data analysis and programming. My academic journey ended up by earning a Master degree in Applied Mathematics & Data Sciences, with a concrete focus on Partial Differential Equations (PDEs) and Numerical Analysis.

🤝 I'm always eager to collaborate on exciting projects and discuss ideas in the realm of data analysis and visualization. Whether it's contributing to open-source projects or exploring freelance opportunities, I'm ready to dive in and make a difference.

Academic Background

  • Master's degree in Applied Mathematics and Data Science(PDE&NA)
  • Bachelor's degree in Mathematics (Mathematics & Applications)

Technical Skills

  • Programming Languages:

    • Python
    • SQL
    • Matlab
    • Excel/VBA
    • R
  • Data Analysis and Visualization:

    • Pandas(In progress)
    • Matplotlib/Seaborn(In progress)
    • Numpy(In progress)
    • Data Validation
    • Data Cleaning
  • Mathematical Modeling:

    • Differential Equations
    • Optimization Techniques
    • Statistical Analysis