Hi everyone, my name is Hrag, and I am currently a senior at UC Berkeley, set to graduate in May 2025. I am double majoring in Data Science and Geography, with an emphasis in Business Analytics and Political Economies. I chose Geography because it is one of my passions—thinking geographically allows me to understand and solve problems from a spatial perspective. In my spare time, I enjoy studying, reading, and collecting and making maps.
I pursued Data Science because of my strong interest in solving problems analytically, combining different methodologies, and applying technology to complex issues. My academic experience at UC Berkeley has provided me with a diverse and specialized skill set, allowing me to tackle problems from multiple angles.
Work Experience
2024 - Present
Co-Founder / Tutor
Code Conquer Academy
- •Developed and delivered a curriculum based on UC Berkeley's computer science and data science coursework for highschool and community college students.
•Guided students through real-world applications of coding and data science, preparing them for higher education and career opportunities.
•Taught foundational programming skills, data analysis techniques, and core computer science concepts through a hands-on, project-based approach.
2024 - Present
Startup Co-Founder
Couch
- Founded a network designed to simplify the subleasing experience for students, with a focused mission to offer a user-friendly app platform for discovering and listing sublease opportunities.
- Currently executing a comprehensive strategy for strategic marketing and outreach initiatives, through precision-targeted social media advertising, dynamic on-campus events, and strategic partnerships with leading universities.
2023-2023
Project Consultant
General Mills
- Utilized excel to conduct research and data collection through interviews to identify barriers to regenerative agriculture adoption, and presented financial and sustainable recommendations to a Fortune 500 company.
- Facilitated client meetings and presented final recommendations to General Mills Industry leaders across sustainability teams, focusing on partnering with verification programs and offering farmers transition support.
2023-2023
Data Science and Analytics Intern
Education Superhighway
- Innovated a machine learning and predictive modeling method through R and Python to forecast funding for government programs that provide affordable healthcare, and internet in order for further data analysis by policymakers.
- Extracted and prepared 12000+ housing infrastructure reports through SQL, in order to be showcased to 30+ state representatives.
2020-2024
Data Analyst
Wireless 2020
- Coordinated with one of Canada’s and America’s largest telecommunications companies during the Canadian Government Spectrum and FCC (Federal Communications Commission) auctions and consulted on best practices for implementation.
- Exercised specialized software and Python-driven analyses to evaluate over 1 million potential sites, identifying optimal locations for fiber Wi-Fi, and cable line installations thereby optimizing network coverage and efficiency.
- Contributed to the development of a business case analysis software, used to support Broadband investors, by managing its SQL database.
- Collaborated with the development team to conduct speed, accuracy, and efficiency tests on an AI software, resulting in an 8% improvement and optimized software performance.
Extracurricular Activites
2022-Present
Co-Founder/ Media Manager
Alpha Epsilon Omega
- Played a key role in establishing the Iota chapter at UC Berkeley.
- Collected and compiled 1000+ files and data about the chapter and its members for recording-keeping purposes.
- Assisted in organizing a fundraiser for displaced refugees, successfully raising nearly $15,000.
- Engaged in frequent community service activities to support local initiatives.
2024-Present
Director of Policy & Development
Associated Students of University of California
- Conducted projects and event programming to support community outreach for transfer students, advocating for their needs.
- Developed statistical representations and visualizations from data to support policy advocacy initiatives.
Education
2022-2025
University of California, Berkeley
B.S. in Data Science
Emphasis in Business and industrial analytics
B.A in Geography
Emphasis in Political Economics
Relevant Coursework
- Calculus I
- Calculus II
- Linear Algebra
- Data Structures
- Probability For Data Science
- Foundations of Data Science
- Computational Structures in Data Science
- Introduction to Urban Data Analytics
- Principles & Techniques of Data Science
- Data Mining and Analytics
- Machine Learning
- Data Engineering
- Sustainable Business Consulting Projects
- Topics In Entrepreneurship
- Science, Technology, Innovation and Culture
- Spatial Analysis for Health Equity
- Earth System Remote Sensing
Skills
Technical: SQL, Python, R, Java, JavaScript, CSS, HTML, Plotly, Envi, GIS (Quantum GIS, ArcGIS, LiDAR, Envi, Open Street Map, Google Earth Engine)
Software: Adobe Acrobat Pro, Tableau, Github, Jupyter, Intellij, R Studio, Visual Studio code, Pycharm, PostgreSQL
Languages: English, Armenian , Spanish (Conversational)
Projects and Research Experience
List of Services
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Analyzing Changes in the ACP Program (Research)List Item 1
Analyzed changes in Affordable Connectivity Program (ACP) subscriber rates across U.S. regions, focusing on enrollment declines after the new year due to recertification. Examined demographic factors like race, household size, and device availability, using data mapping and statistical methods to explore relationships between provider coverage (e.g., Xfinity) and subscription rates. Developed hypotheses on broadband infrastructure's impact on enrollment, using multivariate clustering to visualize demographic influences.
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AI powered custom Sublease Contract ToolList Item 2
Developed a full-stack web app that creates personalized sublease contracts using OpenAI's GPT model. Built an interactive form with HTML, CSS, and JavaScript, connecting a Flask backend via Fetch API. Integrated the OpenAI API for real-time contract generation and implemented CORS for secure cross-origin requests. Demonstrated proficiency in JavaScript, Python, and API integration.
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Asthma Risk Analysis in Oakland and Berkeley CommunitiesList Item 3
Analyzed asthma risk factors in Oakland and Berkeley neighborhoods through multivariate cluster analysis, focusing on housing conditions, disease prevalence, and demographic factors. Identified areas needing targeted health interventions or housing policy changes, such as anti-asbestos laws or social health programs, to mitigate asthma risks and improve outcomes in vulnerable communities.
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COVID-19's Housing Market Impact in San FranciscoList Item 4
Analyzed the impact of COVID-19 on San Francisco's housing market, focusing on home prices, vacancy rates, and rental trends. Used Excel for data analysis, GIS for mapping geographic housing demand, and R for statistical analysis, examining socioeconomic factors affecting migration and vacancies. Leveraged ACS data to assess housing stability and the impact of remote work on preferences, demonstrating proficiency in GIS and spatial data visualization.
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2048 Game
Developed the logic of “2048”, implementing features such as tile merging, random tile generation, and scoring calculation. Utilized Java’s List and Deque interfaces to implement and manage tile grids, and movement sequences. Focused on enhancing user interface and implementing player functions for an immersive gaming experience.
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Restaurant Score and Location Prediction
Developed a visualization of restaurant review scores using machine learning techniques and the Yelp academic data set. Constructed a diagram using the Voronoi mathematical algorithm, and Python, where regions are shaded by the predicted score of the closest restaurant.
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BYOW Legend of Zelda- like game
Engineered a fully functioning game based on dynamically randomly generating worlds, rooms, hallways through user-input seeds and software engineering. Focused on enhancing user interface and implementing player functions for an immersive gaming experience.
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Spam Email Classifier
Developed a spam detection binary classifier using logistic regression and advanced text-based features like word count, punctuation, and capital letter frequency. Assessed model performance with accuracy, precision, recall, and ROC curves. Optimized performance using cross-validation and GridSearchCV, achieving over 85% accuracy, showcasing expertise in NLP, classification algorithms, and model tuning.
Interests
Beyond my studies and work experience, I have a strong passion for music and movies. I'm constantly discovering new bands and songs on Spotify and other platforms while learning about music in general. Some of my favorite bands include Pink Floyd, Metallica, Led Zeppelin, Type O Negative, The Cure, Tool, Deftones, Scorpions, Foo Fighters, Alice In Chains, Nirvana, Superheaven, No Doubt, Weezer, Blue Öyster Cult, Dire Straits, and Radiohead.
You can check out my Letterboxd profile here, where I’ve rated some of the movies I’ve seen. I have a love for spaghetti westerns, so a few of my all-time favorite films include For a Few Dollars More, The Good, the Bad, the Ugly, Whiplash, Uncut Gems, Parasite, 12 Angry Men , and Goodfellas.
Recently, I also started learning to play the hand drum. In my spare time, I enjoy hiking and discovering new hidden gems.