- Fermin Ramos
- [email protected] (preferred)
- https://www.linkedin.com/in/fermin-ramos/
- (505)515-8742
University of New Mexico (2019 – 2024)
B.A. in Computer Science with Minor in Statistics
| Relevant Achievements | Time Frame |
|---|---|
| School of Engineering Peer-Mentor | 4x Semesters |
| Member of The National Society of Leadership and Success, Honor Society | 2020 - Present |
| School of Engineering Dean’s List: Fall 2019, Spring 2021 | |
| Member of UNM’s Chemical Engineering AICHE Car Team | 2022 - Present |
| Lobo Rainforest Hackathon 2023, Winner. | 2023 |
| Experience |
|---|
| Mentorship, Data Analysis Central Intelligence Agency (CIA) 02/2024 - 04/2024 |
| - Participated in a rigorous mentorship program with the CIA focused on strategic planning, intelligence analysis, and case briefings. - Engaged in simulations that required quick decision-making, which developed my ability to stay composed and accurate under tight deadlines. - Engaged in unique CIA briefing exercises, which enhanced my report-building and presentation skills in delivering precise and reliable information to decision-makers. |
| Research Assistant, Data Analysis and ArcGIS Visualizations University of New Mexico, College of Nursing 12/2022 - 05/2024 |
| - Developed custom web-scraping Python programs to build and manage underlying datasets for a Geographic Information System (GIS), which helped universities and hospitals identify weak points in their disaster preparedness. - Scaled the project’s dataset collection from 1 dataset to more than 400, including sources from the FBI, EPA, CCNE, NLN, Census, and FEMA, resulting in significantly more accurate statistical analysis and insights. - Learned a wide array of data extraction techniques including APIs, web scraping with Selenium, and automated mouse movement interactions when necessary. - Worked with an interdisciplinary team of professionals to aid in the development of a public graphical interface, which has enabled users across the United States to see a visualization of their community’s disaster vulnerability based on locational data. (https://arcg.is/0q4ey4) |
| Backend Programmer EatWell Solutions 12/2023 - 02/2024 |
| - Co-founded a mobile-based application based on winning entry in the 2023 Lobo Rainforest Hackathon, which bridges the gap between dieting and budget apps by using open-source recipe databases to curate weekly diet-friendly meal plans for users. - Contributed to the development of the backend algorithm to integrate open-source recipe databases with Java. - Integrated Java APIs of local grocery stores (Kroger, Albertson’s, Target) into the app to provide a cost-based and geolocation analysis of where groceries for meal plans could be purchased at the lowest price. - App secured funding from outside investors. |
| Backend Programmer Food for Kids, Java and Apache POI 09/2021 |
| - Programmed a Java automation script to write weekly meal plans on Microsoft Excel, that enabled a local daycare business to automate its menu planning based on their available groceries. - Designed the program to handle dozens of input files, resulting in an application that provides three randomized nutritionally balanced meals for each day of a week for children and ensures that no child gets served the same meal twice in a row. - Ensured system adhered to federal and New Mexico state guidelines for daily nutrition, enabling real-world use of the system. - Updated and expanded the automation system for use at other independent daycare businesses in the Albuquerque area. |
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Alibaba
D3
Tencent