Mariah Serrano Email & Phone Number

- Collaborate with research scientists on the Efficacy and Implementation Research team by producing usable datasets by combining internal and external data sources (ETL)- Produced the 2023 State of Student Learning nationally representative samples by academic year, grade level, and subject- Ensure a high-level of integrity and stability in the underlying.

Houston, Texas, United States

- Using K-means clustering and Principal Component Analysis, cluster students by ability and performance to adhere to House Bill 4545 intervention requirements- Create visualizations representing student STAAR, MAP, and course performance over the pandemic timeframe to inform staff of student progress and current performance standings- Establish and manage.

- Imposed logistic regression, naïve Bayes, and support vector machine deep learning models on text data via Python to compare model classification accuracy- Explored well data via line graphs, bar charts, and boxplots to identify unbalanced categories, missing, or inconsistent data- Participated in weekly updates on task progress with Tableau.

- Utilized and wrote efficient SQL script to query information from database- Document and track project progress of each task being completed for each client to ensure organization and rapid delivery- Crosschecked, analyze, and formatted data via Excel to ensure polished reports for clients

• In the Gershman lab,
• Examined the tensions between exploration and exploitation in different state representations
• Analyzed user behavior via MATLAB to uncover needed experimental improvements
• Self-taught necessary HTML, JavaScript, and CSS in four weeks
• Constructed and implemented an online behavioral experiment

Arlington, TX

• Facilitated bi-weekly groups for 2 to 20 students students struggling with mathematics
• Assembled helpful bi-weekly materials for practice and review of mathematical concepts
• Encouraged analytical thinking to emphasize logic and self-teaching
• Communicated student abilities with professors weekly

Arlington, TX

- Identified barriers for transfer versus native students via ANOVA, MANOVA and Chi-Squared- Collaborated to learn, implement, and execute analysis using SAS- Informed the Chair and advisors of the School of Science of statistical findings by presentation and visualizations of which findings were statistically significant at 𝛼=0.05 level

• Constructed individualized strategic plans for high school students pursuing high education to ensure informed decisions
• Awarded GO Mentor of the Year 2015-2016

Master Of Science - Ms, Data Science & Statistics

Bachelor Of Science - Bs, Mathematics

Activities and Societies: Association of Women in Mathematics - Treasurer Actuarial Science Club - Member Mathematical Association of.