Highlights:Increased efficiency of student performance data analysis by 40% through building and optimizing machine learning pipelines at Minerva University.

Skills:Python programming, R programming, SQL, Machine Learning (NLP)

Goal:To leverage machine learning expertise to solve complex problems in the field of Data Science(e.g., finance, healthcare, technology).

Membership:LGBTQI+ Students

Certification:Software Engineering Certification - hackerrank

Honor:International Mathematics Olympiad - Silver Medalist (2017), Bronze Medalist (2016) Duke of Edinburgh’s International Award - Gold Medalist

Quantitative Research Intern 06/2023 - 08/2023
VanEck, New York, NY United States
Industry: Asset Management
? Designed and implemented predictive ML models for financial asset prediction using Python and SQL. ? Worked with large datasets (200K+ entries/day), automating data cleaning and preprocessing pipelines. ? Developed a clustering algorithm for asset similarity analysis, improving portfolio insights by 20%.
--
Manager - Data Analytics Team 01/2022 - 05/2024
Minerva University, San Francisco, California United States
Industry: Finances
? Built and optimized machine learning pipelines for analyzing student performance data, improving insights delivery by 40%. ? Designed predictive models to forecast academic success using Python, Scikit-learn, and Azure ML. ? Collaborated cross-functionally with engineering teams to deploy solutions in cloud environments using Docker and Kubernetes.
--
Data Science Intern 06/2021 - 09/2021
Philip Morris International, , Swaziland
Industry: tobacco
Developed deep learning-based sentiment analysis models on consumer survey data, achieving 85% accuracy. ? Leveraged NLP techniques to analyze unstructured text data and extract insights for marketing strategy. ? Deployed models to cloud systems using Azure and containerized environments with Docker.
--

Minerva University 08/2020 - 05/2024
San Francisco, California, United States
Degree: Bachelor's Degree
Major:Computer Science; Social Science
? Concentrations: Computer Science (Data Science & Statistics, Mathematics), Computational Neuroscience. ? Relevant Coursework: Machine Learning, Deep Learning, Natural Language Processing, Predictive Analytics, Data Structures, Advanced Statistics. ? Teaching Assistant: Supported courses in Single & Multivariable Calculus and Complex Systems.

Login to view resume: data analystics -