I am an admitted student at Columbia University. In Spring 2025, I will begin my Master of Science in Applied Analytics. I recently graduated from Texas A & M International University (TAMIU), where I earned my Bachelor of Science in Mathematics.
I am currently developing skills in software engineering, data analytics, and data engineering. While studying at TAMIU, I served as research assistant under the University Honors Program, where I contributed to two publications on on algorithms for solving reaction-diffusion equations in ecology.
I am particularly interested in the applicatoins data, innovation, and research in the domain of healthcare. Outside of school, I enjoy reading,writing, trying new recipes, and dancing.
My goal is to create meaningful projects and leverage advanced analytics to drive operational excellence and double down on operational efficiencies across domains.
I am eager to apply my technical skills, analytical skills, and education in these areas.
My analytic skills include Data Management, Machine Learning, Anomaly Detection, Optimization, Statistical Analysis for optimized business operations.
I have worked with functional programs that solve elementary algorithmic problems in C++. I have experience with compiling, finding, correcting syntax errors, and executing programs in C++ I posses knowledge on data types, flow of control, functions, I/O streams, arrays, and the mechanics of running, testing, and debugging.
I used LaTeX, Overleaf, MATLAB, and FreeFemm++ to run numerical experiments to simulate the solutions of various scenarios of a time-space-dependent solution of population dynamics, and displayed these solutions through MATLAB contour plots.
I am currently learning essential skills for full-stack development, including JavaSript, HTML/CSS, Python, R, SQL, and GitHub.
Through my contributions to the Journal of Computational and Applied Mathematics and the journal of Mathematical Biosciences and Engineering I have developed proficieny in the processes involed in production of scientific experiments, writing, developement, and publication.
As a Mathematics graduate, I possess my strong analytical and problem-solving skills. I excel at data analysis and logical reasoning, which are crucial for making data-driven decisions and solving complex problems.
Spring 2025 - Admitted Student (expected complettion Spring 2026)
Master of Science in Applied Analytics
My master's coursework will involve project experience in natural language processing, identifying performance bottlenecks, translating data into actionable insights, and tracking solutions performance with Tableau, R, SQL, and Python.
2019 - 2023
Bachelor of Science in Mathematics (3.3/4.0 GPA)
University Honors Program (2021-2022)
Minor: Music Performance
2021- 2022
June 2019 - January 2020
Conducted community-focused research by leading PARA protocol surveys on 35+ local greenspaces, and generated excel reports integrating trend analysis.
2020- 2023
Summer 2023
Led weekly supplemental instruction for struggling dancers or dancers who preferred a slower-paced breakdown of intense choreographies.
2021- 2022
Refined communication, presentation, and interpersonal skills by working to create a community of diverse students interested in mathematical concepts or projects.
2023
2022
2021
$28,000
2019-2023
$4,000
2019-2023
$2,000
2022
Journal of Computational and Applied Mathematics, 436, 115421, 2024
Authors: Muhammad Mohebujjaman, Clarisa Buenrostro, Md Kamrujjaman, Taufiquar Khan
Mathematical Biosciences and Engineering, 20(4), 6374-6399, 2023
Authors: Md Mashih Ibn Yasin Adan, Md Kamrujjaman, Md Mamun Molla, Muhammad Mohebujjaman, Clarisa Buenrostro
Details about the research assistant position.
I'm always open to discussing new projects, ideas, or opportunities to be part of your vision.
500 Riverside Dr.
New York, NY
10027 USA
cb3985@columbia.edu
clarisabuenrostro.github.io
Cell: 1 (956) 324-7979