Skillset
Professional Skillset
● Programming Languages: Python, R, Java, JavaScript, SQL, HTML, CSS
● Big Data & Machine Learning: MongoDB, Python (eg. Pycharm, TensorFlow, scikit-learn, numpy, pandas, matplotlib)
● Data Science & Miscellaneous Technologies: A/B Testing, ETL, Data science pipepline (cleansing, wrangling, visualization, modeling, interpretation), Statistics, Time series, OOP, Tableau, Looker, Power BI, Excel, Git
Work Experience
Professional Experience
Jan 2024 –Current
Research Assistant
MACHINE LEARNING AND COMPLEX SYSTEMS LAB, SJSU
San Jose, California
● Developed a chat-style Personalized Recommender Recipe System using a fine-tuned GPT-2 model on the Food.com dataset (~450,000 recipes).
● Applied natural language processing (NLP) and machine learning techniques to create a system that understands user dietary restrictions and taste preferences.
● Implemented Retrieval Augment Generation (RAG) with guardrails, utilizing 70% of the dataset to ensure high-quality, safe recipe recommendations.
March 2022 - July 2022
Data Analyst
CommonBond
New York, New York
● Analyzed historical data to identify user behavior which increased customers by 10% via utilizing the top 3 marketing channels effectively.
● Conducted conversion rate analysis in Python and communicated recommendations to business leads, resulting in the executive team’s decision to automate the underwriting processes.
● Extracted credit metrics from Snowflake using SQL to build a dataset for yearly government fair lending assessment
February 2021 - March 2022
Business Analyst Consultant
Instacart
San Francisco, California
● Created business reports utilizing SQL, Excel, and Tableau for internal stakeholders to provide real-time insights into sales and business KPIs.
● Built Periscope dashboards using SQL, reducing repetitive ad-hoc requests and improving team flow by 50%.
Jan 2020 - Jan 2021
Data Analyst
Opportunity Finance Network
Washington, DC
● Automated database development process with Python to manipulate members’ data, which saved 30 hours of manual data processing.
● Developed Tableau dashboards of financial indicators and ratios
● Analyzed the company’s borrowed funds using R, and visualized data with Tableau, presenting findings to the executives.
● Analyzed the company’s borrowed funds using R, and visualized data with Tableau, presenting findings to the executives.
Education
2023 - 2025
San Jose State University
Master of Science in Data Science
Relevant Coursework: Machine Learning, AI, Data Structures and Algorithms, Object-Oriented Programming
San Jose, California
2016 - 2020
Concordia College
GPA: 3.6, Dean's List
Bachelor of Arts in Financial Mathematics
Moorhead, Minnesota