Experience

The Berkeley Forum

• United States
• Think Tanks
• 1 - 100 Employee

• Data Analyst

  • Sep 2022 - Present



Apple

• United States
• Computers and Electronics Manufacturing
• 700 & Above Employee

• ML Engineering Intern

  • May 2023 - Aug 2023

  Apple Services Engineering - AI/ML - Worked on improving video search quality on the Search Science team Apple Services Engineering - AI/ML - Worked on improving video search quality on the Search Science team



Computer Science Mentors

• United States
• Education Administration Programs
• 1 - 100 Employee

• Computer Science Instructor

  • Jan 2022 - May 2023

  Tutoring students in CS 61B (Data Structures) course Tutoring students in CS 61B (Data Structures) course



UC Berkeley College of Computing, Data Science, and Society

• United States
• Higher Education
• 100 - 200 Employee

• Machine Learning Researcher

  • Jan 2022 - Jan 2023

  - Engineered machine learning models to predict text edits for grammatical and stylistic accuracy according tospecific authorial style with accuracies of up to 82% (classification models used: Naive Bayes, Random Forest, Logistic Regression, BERT)- Analyzed textual data using NLP techniques (distinctive words-analysis, sentiment analysis, tokenization, text extraction, and named-entity recognition) for engineering robust features in predictive models

• Academic Intern - Foundations of Data Science (Data 8)

  • Jan 2022 - Dec 2022

• Course Assistant - Data Science Applications in Physics (Physics 88)

  • Dec 2021 - May 2022



Teachers Without Borders

• United States
• Education Administration Programs
• 1 - 100 Employee

• Data Science Consultant

  • Aug 2022 - Dec 2022



UrbanEyes

• United States
• Software Development
• 1 - 100 Employee

• Data Science Intern

  • Jun 2022 - Aug 2022

  - Implemented machine learning models (Random Forest/XGBoost/linear/logistic regression methods/CNN) for predicting areas of high financial growth in real estate appreciation - Improved existing unsupervised and supervised learning model accuracy by 15% using web-scraped public tax/crime data for 3 million added data points - Implemented machine learning models (Random Forest/XGBoost/linear/logistic regression methods/CNN) for predicting areas of high financial growth in real estate appreciation - Improved existing unsupervised and supervised learning model accuracy by 15% using web-scraped public tax/crime data for 3 million added data points



Dbrief.AI

• Technology, Information and Media

• Software Engineer Intern

  • May 2022 - Aug 2022

  - Created responsive and accessible UI for a newsletter component on company website in React.js framework that doubled website usage and number of subscriptions - Developed using CSS/HTML components and JavaScript to enhance functionality and website usage - Created responsive and accessible UI for a newsletter component on company website in React.js framework that doubled website usage and number of subscriptions - Developed using CSS/HTML components and JavaScript to enhance functionality and website usage



SAAS Berkeley

• United States
• Software Development
• 1 - 100 Employee

• Statistical Researcher

  • Sep 2021 - Jan 2022

  - Worked at the Research & Publication committee at SAAS UC Berkeley - Worked at the Research & Publication committee at SAAS UC Berkeley



Undergraduate Lab @ Berkeley

• United States
• Research Services
• 1 - 100 Employee

• Data Science Researcher

  • Sep 2021 - Jan 2022



Northeastern University

• United States
• Higher Education
• 700 & Above Employee

• Electrochemistry Research Assistant

  • Feb 2020 - Apr 2021

  - Worked as a research assistant at NUCRET (Northeastern University Center for Renewable Energy Technology) in conjunction with the U.S. Army Research Office to design plasmon-enhanced electrochemical cells to improve charge transfer rates and efficiencies in the Hydrogen Evolution reactions and Oxygen Evolution reactions. - Designed several scripts on MATLAB to analyze rotating disk electrode data/rotating ring-disk electrode data using the Koutecky-Levich Analysis. - Worked as a research assistant at NUCRET (Northeastern University Center for Renewable Energy Technology) in conjunction with the U.S. Army Research Office to design plasmon-enhanced electrochemical cells to improve charge transfer rates and efficiencies in the Hydrogen Evolution reactions and Oxygen Evolution reactions. - Designed several scripts on MATLAB to analyze rotating disk electrode data/rotating ring-disk electrode data using the Koutecky-Levich Analysis.



Y-Labs

• United States
• E-Learning Providers
• 1 - 100 Employee

• Strategist

  • Jun 2020 - Aug 2020

  - Worked with non-profit organization NuMarket to create a platform to help small businesses survive during the COVID-19 Pandemic through small personal loans from customers in exchange for store credit and interest - Worked with non-profit organization NuMarket to create a platform to help small businesses survive during the COVID-19 Pandemic through small personal loans from customers in exchange for store credit and interest



Stanford University School of Engineering

• United States
• Higher Education
• 200 - 300 Employee

• Materials Engineering Research Assistant

  • Nov 2018 - Aug 2019

  - Developed low-temperature synthesis methods for Optimal-Efficiency Perovskite Solar Cells as alternatives to traditional Silicon-based solar cells. - Tested deposition processes of the Perovskite and Hole-Transport layers including both one-step deposition processes and two-step deposition processes. - Developed low-temperature synthesis methods for Optimal-Efficiency Perovskite Solar Cells as alternatives to traditional Silicon-based solar cells. - Tested deposition processes of the Perovskite and Hole-Transport layers including both one-step deposition processes and two-step deposition processes.



AwesomeMath

• United States
• Education Administration Programs
• 1 - 100 Employee

• AwesomeMath Attendee at Cornell University

  • Jun 2018 - Aug 2018

  - Attended an application and exam based competition math program at Cornell University - Attended an application and exam based competition math program at Cornell University