Aspiring Data Analyst | Data Cleaning • Google Sheets • SQL
I am an aspiring data analyst with a background in mathematics, focused on turning raw data into clear and actionable insights.
This portfolio showcases hands-on projects in which I clean, analyze, and prepare real-world datasets using tools such as Google Sheets, SQL, R, and Python, culminating in a Capstone Project.
Data cleaning and preparation
Data validation and quality checks
Exploratory data analysis
Building datasets ready for business insights
Presentation with Google Slides
Worked as a sales associate with Rainbow Store and Walmart for 2 years, from 2018 to 2020.
Collected 6 years of experience as a direct support professional, from 2020 to now.
More information will be provided as needed.
Transferable Skills
Maintained accurate records and attention to detail
Managed schedules and tracked daily activities
Developed strong organizational and problem-solving skills
Education & Certifications
Education
High School Diploma – General Science
John Fitzgerald Kennedy
High School – Dakar, Senegal
Associate in Science – Mathematics – CUM LAUDE
Community College of Philadelphia
Certification
My Merit America – Virtual.
Google Data Analytics Professional Certificate
PURPOSE:
I chose data analytics because I’ve always been drawn to understanding how things work and making sense of information. I am a very curious person and tend not to rest until I find clear and logical information, when I encounter a new insight that does not make sense to me. My background in math really strengthened that, but it was my experience working as a Direct Support Professional that made it more meaningful. I saw how important good decisions are and how they directly affect people’s lives.
Data analytics is the perfect way to combine those two things: thinking critically and making an impact. As I’ve been training in tools like SQL and Tableau, I’ve realized how powerful it is to turn data into clear insights that others can use. That’s what motivates me, and it’s why I want to grow in this field.
In five years, I see myself working as a data scientist and deepening my skills in areas like machine learning and advanced data modeling, while continuing to gain real-world experience solving business problems with data and building on my analytics skills. I’m developing now and gaining deeper experience in the world of data. I also plan to use those skills to start and grow my own business, using data to make informed decisions and improve performance. Overall, I want to be in a position where I’m using data to drive meaningful impact.