San Francisco Bay Area
Hi, I’m Rena! I’m a UC Berkeley Data Science rising junior with an emphasis in Economics, interested in using data to drive product and business decisions. I have hands-on experience applying Python, Pandas, SQL, and dashboarding tools to transform raw data into actionable insights, especially in the edtech space. Through my work as a CSM tutor, I’ve also strengthened my communication and problem-solving skills by helping students understand core data science concepts. Currently, I’m part of the UC Berkeley Data Science Discovery Research Program, where I’m working with CourseWise, an edtech platform by Equivalence Systems. My team is building a dashboard to analyze user engagement, feature usage, and institutional activity, helping CourseWise better understand product usage and identify opportunities for improvement. Through my edtech, teaching, and data science experiences, I hope to bring a unique perspective to teams working at the intersection of product, analytics, and technology. Technical skills: Python, Pandas, NumPy, SQL, data analysis, data visualization, basic machine learning Focus areas: analytics, experimentation, applied ML, business-facing data science I’m actively seeking Summer 2026/2027 internships in Data Science, Analytics, or Machine Learning, particularly in the Bay Area. I’m excited to learn from strong teams, take ownership of meaningful projects, and continue growing as a data scientist. Portfolio: https://renas20.github.io/index.html Email: [email protected]
CourseWise Education Meta‑Analytics II – Internal Metrics & Impact Dashboard - Built a Retool product analytics dashboard for CourseWise, an AI-powered edtech platform, to track user engagement, feature usage, institutional activity, and transfer-credit workflow impact. - Defined and analyzed core KPIs including active users, feature usage, average actions per user, plan creation rate, and search-to-plan conversion using SQL. - Translated raw platform usage data into actionable product insights through dashboard visualizations, metric documentation, and stakeholder-ready reporting. Presented the project at the UC Berkeley Data Science Discovery Symposium.
I create worksheets every week for 70+ students taking Data C88C (Computational Structures in Data Science) --- Lead weekly Content Mentor meetings to coordinate course material strategy and instructional alignment • Develop and maintain technical learning resources, including worksheets, solutions, and original problem sets • Design mentor guides that support effective teaching of complex technical concepts • Spearhead curriculum and content initiatives to improve student learning outcomes • Collaborate with course leadership to shape instructional direction and program development • Foster an inclusive and supportive learning community among mentors and students
I help build connections for 80+ women-identifying first-year computer science students to the technology industry to expand career exposure and professional development opportunities. --- Lead industry outreach and partnerships to connect students with companies through professional development opportunities, networking events, and collaborations for 80+ female identifying freshmen @ UC Berkeley. Work closely with corporate partners to bring career-focused resources, workshops, and insights to members.
Fall 2025 - Support technology operations and data-driven problem solving for Haas students, faculty, and staff. - Provided technical support across macOS, Windows, and campus systems, diagnosing and resolving hardware, software, and authentication issues. - Responsibilities include managing ServiceNow helpdesk data and ticket workflows. - Delivered real-time classroom and AV support for faculty and staff, ensuring minimal disruption to lectures and campus events. - Responded to phone-based technical requests and AV emergencies, conducting issues efficiently under time-sensitive conditions. - Translated complex technical issues into clear, actionable solutions for non-technical users, improving user satisfaction and issue resolution speed. - Assisted 20+ students, faculty, and staff per week, maintaining a high standard of responsiveness and service quality.
- Assisted over 100+ customers with product selection, handled transactions, and built positive client relationships to drive sales. - Managed inventory by tracking stock levels, updating records, and helping forecast restock needs. - Used spreadsheets data to monitor sales trends and identify best-selling products. Supported day-to-day store operations including merchandising, display setup, and order processing. - Collaborated with the owner on marketing ideas (promotions, seasonal campaigns) to attract new customers.
• Conducting weekly sections for UC Berkeley’s Data C88C (Computational Structures in Data Science) course • Student Support Committee - Provide additional support for students aside from tutoring sections, such as planning events/activities.
- Coordinated event logistics and scheduling for committee meetings, ensuring smooth execution of programs and socials to foster community building - Planned and organized events in collaboration with lead directors, including networking panels, socials, and speaker engagements.
-Participated in 1-week bootcamp focused on Python, Data Science, Web Development, and Electrical Engineering concepts for incoming UC Berkeley students - Engage in hands-on coding workshops, programming basics, and working on small projects to develop coding skills - Connected with peers, faculty, and tech-oriented industry professionals to pursue my school and career goals in tech - Attended field trip to adobe & ammunition