Maryam Almahasnah

Hello! My name is Maryam and I’m a senior Data Science major at the University of California San Diego. I am in the first and finest college, Revelle College.
Currently, I work as an undergrad Data Science Tutor and a Data Analysis Assistant to the Associate Director of Revelle’s Humanities Program, Dr. Kristina Markman.

Education

University of California, San Diego - The Halıcıoğlu Data Science Institute (HDSI)
B.S in Data Science, June 2025

Scholarships and Honors

Full Merit Scholarship, Sponsored by the Saudi Arabian Cultural Mission (SACM).

UC San Diego Revelle College Provost Honors: Received five consecutive quarters of honors, including the 2023-2024 Academic Year.

Experience

Data Analysis Assistant (Jan 2025 - present)

Revelle College, UC San Diego

Currently assisting the Associate Director of Revelle’s program in a Data Analysis and Assessment Project. I am in the process of cleaning, organizing and presenting data consisting of evaluations of students’ performance before and after the incorporation of a standardized writing curriculum.

Data Science Tutor (September 2024 - present)

Halıcıoğlu Data Science Institute, UC San Diego

I currently tutor for DSC 140A : Probabilistic Modeling and Machine Learning with Professor Justin Eldridge. I hold weekly office hours for a class of 300+ students to help students understand difficult concepts and answer any questions on the course content and the assignments. I am also resposible for grading homeworks, labs and exams as well as posting those weekly assignments and releasing grades. I previously tutored for DSC 40B: Theoretical Foundations of Data Science.

Data Science Intern (August 2024 - September 2024)

the Saudi Telecommunication Company (stc)

In Summer 2024, I interned in the Advanced Analytics with program manager Mohammed Umar Farooq and worked with a sample HR Employee Dataset. My projects consisted of building a model to predict employee attrition as well as grouping employees using a k-means clustering algorithm based on features selected using PCA.

Cohead of Marketing & Analytics (May 2024 - present)

Lobster & More Startup

In Summer 2024, I joined a founding team to launch a seafood startup in Saudi Arabia with the goal of selling and delivering fresh seafood to regions all over the country. I serve as the cohead of Marketing and Analytics as I utilize various digital media and analytics tools to promote and market the firm and its purpose.

Research Assistant (May 2024 - present)

Brain and Cognition Lab, UC San Diego

I currently work as a Research Assistant to PhD candidate Sean Huang at the Brain and Cognition Lab under the supervision of Dr. Seana Coulson. We explore the effect of local and foreign accents in the brain’s processing. I’ve conducted both behavioral and cognitive experiments for participants, and I am responsible for cleaning, organizing, wrangling and troubleshooting data.

Projects

Language Classifier
◦ Built a language classifier from scratch that can distinguish between Spanish and French words
◦ Used a simple least squares model and bi-gram features; achieved an overall accuracy of 84%+ on the leaderboard, and ranked in the top 55 in a class of 240+ students.

Statistical Inference for U.S Presidential Elections
◦ Performed statistical, predictive analysis and inference using the MEDSL presidential election data
◦ Performed EDA by states and time-series + conducted data cleaning
◦ Used the Likelihood Ratio Test and Goodness of Fit Tests. Used metrics for model behavior evaluation.

Big O Explained: an Interactive Data Visualization
◦ Worked as part of a team to create a website that would explain Big O Notation to beginners
◦ Utilized Python, HTML, Javascript, D3 and Svelte to create a user friendly interactive webpage
◦ Deployed the website to be used in lower-divison Data Science courses to support students’ learning through engaging material.

Interactive Data Visualization: Male vs. Female Income
◦ In this project, we present the difference between male and female income in various fields over time in an interactive data visualization.