About Me

My name is Mohamed Abdulkadir and I am currently a second year Data Analytics major specializing in Computational Analytics at The Ohio State University. Growing up, I've always pondered on the idea of how technology can be made to make people's lives much easier and also having a keen interest in how data can be used to solve complex problems. Ultimately, leading to my decision in becoming a data scientist because the idea of using programming to develop algorithms and being able to make data-driven decisions from that is what intrigues me most.

OSU Sports Analytics Association logo

Organizations I'm involved In

I am currently a member of the following organizations: Alpha Lambda Delta Honor Society, Big Data & Analytics Association, and the OSU Sports Analytics Association. As a member of the Big Data & Analytics Association, this organization aims to inspire members like me to think analytically and empower us through hands-on training. With the Sports Analytics Association, we attend weekly meetings that consist of data workshops, analytics-related presentations, and more to foster the interest of applying analytical methods to sports or to widen the scope of sports analysis. Which interests me a great deal.

Interests

In my free time, when I'm not doing projects or certifications, I enjoy playing and watching basketball. I've always loved the fast-paced/intensity of the game and how it shows you must possess strategy and teamwork to be successful. My favorite team is the Toronto Raptors because of their exciting style of play and Canada also being a second home to me. I hope to do a project sometime in the near future where I explore data for the Toronto Raptors and use it to make machine learning models and visualizations.

Toronto Raptors logo

Projects

Here are some of the projects that I have completed outside of school in my spare time. I enjoy doing projects like these because it helps reinforce my understanding in this vast field that's rapidly developing everyday.

Truck Sales EDA

  • Developed Python scripts using libraries such as Pandas and Matplotlib to preprocess and visualize data, then integrated these scripts into Power BI as custom visualizations, enriching the dashboard with dynamic and interactive elements that offer users a comprehensive and visually appealing overview of key metrics and trends in the power industry.
  • Employed Seaborn to generate advanced statistical visualizations including pair plots, heatmaps, and regression plots, facilitating deeper exploration of correlations between different features and enabling the identification of patterns and insights crucial for understanding factors influencing truck sales.
Link To Project

COVID-19 Data Exploration

  • Tools used in this project were Excel, SQL, and Tableau.
  • I first cleaned and manipulated the dataset in Excel, using formulas and functions to calculate averages and more.
  • I then transferred the data to SQL. In SQL, I used the cleaned dataset from Excel to join tables, using that to make comparisons between the deaths/vaccinations produced from COVID, and created more complex queries.
  • Created views to look closely on which insights seemed more significant, then transferred the data to Tableau to visualize our findings.
Link to Project

Web Scraping Using Python

  • Utilized BeautifulSoup and Requests libraries to send HTTP requests and retrieve HTML content.
  • Parsed through the HTML content to extract relevant data using Hockey teams in the year of 1990.
  • Also, made use of implementing data cleaning/manipulation techiniques to ensure complete accuracy and regularly updated the CSV file with the latest data.
Link To Project