Experience

Intelliimpact

• United States
• Business Consulting and Services
• 1 - 100 Employee

• Business Analyst Intern

  • May 2023 - Sep 2023

  Berkeley, California, United States - Developed a digital marketing strategy for a growing nationwide auto sales company, resulting in bolstered sales and conversion rates - Undertook detailed data cleaning and validation processes, ensuring the robustness and accuracy of marketing data, subsequently enhancing the performance of email campaigns - Employed SQL, Tableau, and Excel for in-depth marketing data analysis, laying the groundwork for informed decision-making and shaping marketing strategies - Executed A/B… Show more - Developed a digital marketing strategy for a growing nationwide auto sales company, resulting in bolstered sales and conversion rates - Undertook detailed data cleaning and validation processes, ensuring the robustness and accuracy of marketing data, subsequently enhancing the performance of email campaigns - Employed SQL, Tableau, and Excel for in-depth marketing data analysis, laying the groundwork for informed decision-making and shaping marketing strategies - Executed A/B testing for various marketing elements like email headers, content, and call-to-action placements, optimizing open rates and minimizing unsub rates - Addressed and rectified email deliverability issues, improving the efficacy of email campaigns and supporting user growth - Drafted detailed consulting reports and shared insights with clients and internal teams, playing a pivotal role in enhancing marketing strategy efficacy Show less



Data Science Discovery Program

• United States
• Research Services
• 1 - 100 Employee

• Data Science Researcher

  • Aug 2022 - Dec 2022

  Berkeley, California, United States - Collaborated with a team on predicting substorms using magnetometer and aurora images data taken by ground stations of the NASA THEMIS project near the Earth’s pole, under the guidance of Dr. Harald Frey - Utilized Pandas, Matplotlib, Seaborn, and Sklearn to perform data cleaning and analysis on raw CDF data - Leveraged pre-trained PyTorch neural network TAME classifier to classify complex aurora image data Implemented Long short-term memory ML model to incorporate diverse source of… Show more - Collaborated with a team on predicting substorms using magnetometer and aurora images data taken by ground stations of the NASA THEMIS project near the Earth’s pole, under the guidance of Dr. Harald Frey - Utilized Pandas, Matplotlib, Seaborn, and Sklearn to perform data cleaning and analysis on raw CDF data - Leveraged pre-trained PyTorch neural network TAME classifier to classify complex aurora image data Implemented Long short-term memory ML model to incorporate diverse source of inputs and multidimensional time-series data, achieved 70% accuracy on validation set with limited datapoints - Presented research results to 300+ people in Data Science Discovery Symposium. Show less



LocaleIQ Corp

• United States
• Software Development
• 1 - 100 Employee

• Data Analytics Intern

  • Jul 2020 - Sep 2021

  San Jose, California, United States



Electronics & Engineering Club - Berkeley City College

• United States
• Events Services

• Founder / President

  • May 2020 - Jul 2021

  Berkeley, California, United States - Launched fundraising campaigns and secured $1800 in ASBCC. - Hosted various events and projects including webinars, hackathons, and drone aircraft. - Earned rewards in several hackathon competitions. - Provided 3D printers and other lab facilities for school and passionate STEM students. - Fastest growing club on campus (recruited 100+ members during my tenure). - Became the largest active club on campus.



Canbiance LLC

• United States
• Financial Services
• 1 - 100 Employee

• Software Engineer Intern

  • Feb 2020 - Jun 2021

  - Initiated the Watch-OS projects with minimal guidance to enable users to see their physical reactions after the use of Canbiance's product via their smartwatch. - Self-studied the Swift programming language and IOS development.



Berkeley city Coll

• United States
• Higher Education
• 100 - 200 Employee

• Vice President Finance

  • May 2020 - May 2021

  Berkeley, California, United States - Oversaw the budget of the student government and ensured all the student's activities were financially sponsored. - Proposed in the Peralta Community College District senate and developed a Textbook saving program that can help save 50% of the textbook cost for students. - Assisted basic needs and transportation committees to bring benefits to students during the Covid pandemic.



Laney College

• Higher Education
• 200 - 300 Employee

• Computer Lab Assistant

  • Aug 2019 - May 2021

  Oakland, California, United States -Teaching Assistant for Computer Science class. -Teaching 3D printing project. -Lab management.



Berkeley City College

• United States
• Higher Education
• 100 - 200 Employee

• Mathematics/Statistics Tutor

  • Aug 2019 - May 2021

  2050 Center St, Berkeley, CA 94704 - Helped up to hundreds of students to get a better result for their mathematics classes. - Prepare teaching materials and design exams. - Teach mathematics from introduction math level to High-level math class. (Algebra, Calculus, Linear Algebra, Differential equations) - Embed in classes can perform instructions.



TasselLink

• United States
• Non-profit Organizations
• 1 - 100 Employee

• Vice President Of Technology

  • Apr 2020 - Apr 2021

  - Led tech team of 10 students, Website design, and Website management on building the club website from scratch. - Presided weekly meetings. - Recruit and interview members for the tech team. - Organized 5+ internship workshops to help community students find their first internship. More than 100 students attended.



RMDS Lab

• United States
• IT Services and IT Consulting
• 1 - 100 Employee

• Data Analyst Course

  • Jul 2020 - Oct 2020

  Los Angeles County, California, United States - Created a web-based real-time forecasting system. - Operational hurricane intensity forecast modeling - The workflow of building predictive models using machine learning - Hands-on experience with spatiotemporal varying satellite data - Real-world impacts on improving hurricane forecasting and benefiting society