Victor Cruz Ramos
Residential Assistant at UC Berkeley Residential Life- Claim this Profile
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Spanish Native or bilingual proficiency
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English Native or bilingual proficiency
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Bio
Experience
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UC Berkeley Residential Life
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United States
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Education Administration Programs
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1 - 100 Employee
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Residential Assistant
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Aug 2023 - Present
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Berkeley Lab
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United States
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Research Services
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700 & Above Employee
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Data Science Intern
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Jun 2023 - Aug 2023
• Added a functional module to the Axolotl library, a Python Genomics library, that will provide BIRCH, and K-means in combination with Autoencoder clustering methods for large-scale biosynthetic gene cluster (BGC) families. • The module was implemented with Spark alongside Pytorch, TensorFlow, and Keras, and was written on Databricks • Observed Error with metrics such as Adjusted Rand Index (ARI) and ensured they were low in order for the Axolotl library to be an effective clusterer for… Show more • Added a functional module to the Axolotl library, a Python Genomics library, that will provide BIRCH, and K-means in combination with Autoencoder clustering methods for large-scale biosynthetic gene cluster (BGC) families. • The module was implemented with Spark alongside Pytorch, TensorFlow, and Keras, and was written on Databricks • Observed Error with metrics such as Adjusted Rand Index (ARI) and ensured they were low in order for the Axolotl library to be an effective clusterer for different gene cluster families Show less • Added a functional module to the Axolotl library, a Python Genomics library, that will provide BIRCH, and K-means in combination with Autoencoder clustering methods for large-scale biosynthetic gene cluster (BGC) families. • The module was implemented with Spark alongside Pytorch, TensorFlow, and Keras, and was written on Databricks • Observed Error with metrics such as Adjusted Rand Index (ARI) and ensured they were low in order for the Axolotl library to be an effective clusterer for… Show more • Added a functional module to the Axolotl library, a Python Genomics library, that will provide BIRCH, and K-means in combination with Autoencoder clustering methods for large-scale biosynthetic gene cluster (BGC) families. • The module was implemented with Spark alongside Pytorch, TensorFlow, and Keras, and was written on Databricks • Observed Error with metrics such as Adjusted Rand Index (ARI) and ensured they were low in order for the Axolotl library to be an effective clusterer for different gene cluster families Show less
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Circle K International
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United States
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Non-profit Organizations
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100 - 200 Employee
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Secretary
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Mar 2022 - Mar 2023
• Took meeting notes during board meetings. • Updated the Monthly Report Form (MRF) regarding the club’s leadership, fellowship, and service hours every month. • Fill in the Membership Recognition Sheet (MRS) regarding individual club members' total leadership, fellowship, and service hours throughout the term.
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Kiwanis Family Chair
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Mar 2021 - Mar 2022
• Serve as a representative between UCBCKI and other surrounding Kiwanis Family organizations • Organized an event where about 50 students came from high schools all over the bay area to learn about college • Held other service events with our sponsors
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EDGE in Tech™ at UC
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United States
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Research Services
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1 - 100 Employee
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Student Researcher
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Aug 2022 - Dec 2022
• Analyzed a database of more than 100,000 students using data science libraries in Python to draw information about the experience of minorities in STEM at Cal. • Utilized statistical methods to understand the impact of academic probation on student outcomes. • Work with protected datasets and outside experts to perform EDA and create effective data visualizations to support the hypothesis • Presented a report with actionable insights to Deans and Faculty • Analyzed a database of more than 100,000 students using data science libraries in Python to draw information about the experience of minorities in STEM at Cal. • Utilized statistical methods to understand the impact of academic probation on student outcomes. • Work with protected datasets and outside experts to perform EDA and create effective data visualizations to support the hypothesis • Presented a report with actionable insights to Deans and Faculty
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Undergraduate Lab @ Berkeley
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United States
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Research Services
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1 - 100 Employee
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Student Researcher
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Aug 2021 - May 2022
• Used Athena++ to simulate accretion into black holes and explore the different parameters. • Plotted phenomena like the Kevin-Helmholtz instability and other essential factors like mass, density, energy, and momentum as a function of the time it takes for a black hole to reach its steady state. • Communicated effectively with a team to work on the project and split the tasks evenly to finish the project on time. • Used Athena++ to simulate accretion into black holes and explore the different parameters. • Plotted phenomena like the Kevin-Helmholtz instability and other essential factors like mass, density, energy, and momentum as a function of the time it takes for a black hole to reach its steady state. • Communicated effectively with a team to work on the project and split the tasks evenly to finish the project on time.
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Education
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University of California, Berkeley
Bachelor's degree, Data Science -
Orange Glen High School
4.34 GPA