Angelo Punzalan

About

A recent graduate from the University of California, Berkeley, with a Bachelor of Arts in Data Science, I have a diverse background in leadership, analysis, and research. As the Creative Director and Treasurer for PASAE, I led a team of 60 members, organizing events to enhance cultural understanding and executing successful fundraising campaigns. My role as a Sales Operations Analyst at TriNet involved optimizing data analysis processes and enhancing contact databases, significantly improving project efficiency. Additionally, my experience as a Student Researcher in the Physics and Astronomy Division at Berkeley honed my skills in data visualization and model training using Python. I am passionate about leveraging data to drive insights and foster collaboration across diverse teams.

Experience

• Creative Director and Treasurer · PASAE - Pilipino Association of Scientists, Architects and Engineers07-01-2021 – 05-01-2023

  Oversaw a club of ~60 members as part of the Executive Board, sparking discussions and coordinating events to foster cultural understanding. Strategized outreach events and collaborative meetings with other clubs to fundraise and promote communication. Directed major fundraisers with an average income of $400 to host future campaigns. Executed biweekly fundraisers with an average revenue of $200. Processed ~10 weekly purchase requests and reimbursements in a timely manner. Collaborated and discussed with several other clubs to inspire and create new fundraisers.

• Sales Operations Analyst · TriNet11-01-2021 – 12-01-2021

  Assisted the team's data scientist with the analysis of ~10 datasets per day, doubling project efficiency. Leveraged ZoomInfo and Salesforce to gather 1,000+ potential C-Level contacts for different small to medium-sized companies. Executed VLOOKUP and other filtering functions on Excel to filter unwanted values and reduce the number of unwanted values.

• Student Researcher | Physics and Astronomy Division · Undergraduate Lab @ Berkeley09-01-2020 – 05-01-2021

  Applied and refined fundamentals of research including annotating academic papers, exploring different datasets, and creating a timeline for the project. Employed the PyCS3 Python package to analyze and visualize light curve data from 3 different lensing systems as well as support calculations. Bootstrapped and optimized values to train the model using a histogram of values and come up with results with an error of 8 km/s/Mpc.

Education

• University of California, BerkeleyBachelor of Arts - BA, Data Science

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