Organization: General Motors (https://search-careers.gm.com/en/jobs/)
Industry: Tech / Automotive

Extra or specialized topics:
- Personalized resume feedback

Hi, I'm Aileen! I graduated from Berkeley in 2022 majoring in data science. I came in interested in applied math but was intrigued by data science/cs. As someone who had no prior coding experience and as a first gen student, it can be a bit daunting exploring a new major. I'd be happy to share my tips that helped me do well during my time at Cal. I currently work as a ML software engineer at General Motors where my team develops ML models for our supply chain business teams to utilize. I'm happy to discuss my journey as a ML software engineer and working in supply chain. I hope to be a resource for those who are still trying to figure out what role or domain they would enjoy and how working in industry looks like.

Organization: Mermaid Chart (https://www.mermaidchart.com/)
Industry: Tech

Extra or specialized topics:
- Personalized resume feedback
- Interview prep
- Networking advice
- Discussing whether grad school is helpful in their field/role
- Finding early career roles in a tight job market

Breaking into the tech industry can be incredibly challenging, especially without guidance from mentors who have already walked the path. I’m passionate about helping current Berkeley students who dream of joining the innovative and exciting world of technology but don’t know where to start, who to turn to, what roles they would like to go into or even need someone to believe in them. Whether they need guidance, encouragement, or just a cheerleader to keep them motivated, I’m eager to help them navigate the path to a bright future in tech!

Organization: CDC Foundation (https://www.cdcfoundation.org/) and NY State Department of Health (https://health.ny.gov/)
Industry: Public Health

Extra or specialized topics:
- Personalized resume feedback
- Interview prep
- Advice for veterans
- Advice for transfer students

My name is Alex. I’m a veteran and a former transfer student, and I graduated in Fall 2022 with a degree in data science. After graduation, I worked as an R&D Data Engineer before realizing that position wasn’t the right fit. I left the role, moved to New York City without a plan, and eventually found my footing as a data analyst with the CDC Foundation, working with the New York State Department of Health. My path into data hasn’t been linear, and I’m familiar with imposter syndrome and career uncertainty. I’m excited to support others who may feel unsure of where they belong or what comes next.

Organization: Google (https://www.google.com/about/careers)
Industry: Tech

Extra or specialized topics:
- Personalized resume feedback
- Interview prep
- Networking advice
- Discussing whether grad school is helpful in your field/role

I have helped teach multiple courses (mainly Data 100) at UC Berkeley, and I am looking forward to continuing to give back to the data science community. I am particularly interested in the application of data science in software engineering roles and would love to help prospective applicants find these roles. I would also be happy to chat about applying to graduate programs and teaching positions.

Organization: CourseWise by Equivalence Systems, LLC (www.coursewise.com)
Industry: Tech/Education

Extra or specialized topics:
- Special interest in working with current students
- Personalized resume feedback
- Networking advice
- Discussing whether grad school is helpful in your field/role

Hello! My name is Angi, and I'm excited to meet you! I came from an interesting path at Berkeley, initially beginning as a pre-law/pre-med student and, fairly unexpectedly, currently working in data science and education. I feel that my experience at Cal was most profoundly shaped by extra-curriculars and student-led orgs, providing unprecedented insights into what could be next. Over the years, I've had the opportunity to grow as a community member, volunteer, researcher, teaching assistant, ASUC/GA/BSA officer, startup exec, and so much more, all while grappling with what data science really meant for me. I hope to be a good mentor for someone looking to best optimize their time at Berkeley in the context of a pluripotent data science student, though I may have to defer to my peers in terms of the large, technical industry.

Organization: Apple
Industry: Tech

Extra or specialized topics:
- Special interest in working with current students
- Interview Prep
- Finding early career roles in a tight job market

Being in Data Science while the field of AI is in incredible flux can be daunting. Should I focus on CS classes like 162 and 186? Should I take 189, 182, or try to do some Grad courses? I’d love to sit down and chat with you about what your goals are and help you navigate the chaos of the industry, and help you understand the connections between the classes you take and what the industry looks like. If you're a current student, and especially if you feel like you lack clarity and want to understand what kinds of work people actually do in engineering, come talk to me.

Organization: Deloitte
Industry: Finance

Extra or specialized topics:
- Personalized resume feedback
- Interview prep
- Finding early career roles in a tight job market

Hi everyone! My name's Carter, and I graduated from UC Berkeley in 2023 and majored in Data Science and Economics. While at Berkeley, I was one of the Lead Undergraduate Student Instructors for Data 8 - I have a passion for teaching students, providing guidance, and generally helping people out when it comes to academic and professional areas. I'm currently working in a Data Scientist role within Deloitte, and I would be happy to discuss more about tech roles in traditionally non-technical industries!

Organization: Walmart (https://careers.walmart.com/us/en/home)
Industry: Retail / Data and AI

Extra or specialized topics:
- Personalized resume feedback and translating academic experience to industry
- Breaking into industry roles through networking and referrals
- Navigating early-career uncertainty and career pivots
- Leveraging alumni and mentorship communities
- Career growth, ownership, and leadership as a data professional

Hi! I’m Chengyu(Ree) Li. During my time at University of California, Berkeley, I got a lot of help from seniors, mentors, and alumni who were willing to share advice and open doors. One of those connections even helped me land my first full-time job, which really showed me how important community and mentorship can be. I know how confusing it can be to enter the job market—especially when you’re not totally sure what role you want, how to stand out, or whether you’re “doing things right.” My path hasn’t been perfectly linear, and I’ve learned a lot by trying things out, making mistakes, and gradually finding what I’m good at. I enjoy chatting with students and new grads who want honest, practical advice or just someone to talk things through with. Whether you’re figuring out next steps, polishing your resume, or looking for reassurance that you’re not behind, I’m happy to help however I can.

Organization: Weill Cornell Medicine (https://weill.cornell.edu/)
Industry: Health

Extra or specialized topics:
- Personalized resume feedback (you will receive the resume before your meeting)
- Discussing whether grad school is helpful in your field/role

Interested in education, collaborating with medical researchers, and applying data science concepts in your career? Learning more about biostatistics could be for you! There are a huge variety of careers in research that data science undergraduate studies prepare you for. I'd love to share what I know with you!

Institution: Halıcıoğlu Data Science Institute, UC San Diego (https://datascience.ucsd.edu/)
- MOSAIC Lab UCSD: https://mosaic-laboratory.github.io/
- Smarr Lab UCSD: https://smarr.ucsd.edu/
Industry: Higher Education, Biomedicine

Extra or specialized topics:
- Personal experience in STEM and graduate school, navigating as a nontraditional student
- Advice for selecting or applying to graduate programs and deciding between industry and academia
- Finding and shaping research opportunities, including using lived experience to guide focus
- Careers and research in data science for health, wearables, and precision medicine

After a research experience, many people decide they don’t like research... I did internships and found out I don’t like work, at least not the way most jobs do it. So I went for a PhD, where I get paid to think, teach, and solve problems that matter (for more hours and less pay). I knew I wanted this path when my skills and interests intersected with my lived experience, and the work I wanted to do became clear. My research blends statistical modeling, machine learning, and time series analysis of biomedical data from wearables and sensors, focusing on supporting marginalized communities, including formerly incarcerated individuals, former foster youth, and survivors of abuse, in managing conditions like PTSD and addiction. I’m happy to help you weigh grad school versus industry and find work that truly fits you.

Organization: Harvey (https://www.harvey.ai/)
Industry: AI/Legal Tech

Extra or specialized topics:
- Special interest in working with current students
- Personalized resume feedback
- Interview prep

When I was at Berkeley, I had a pretty narrow view of what a career in data science could look like; I thought it was all about becoming a “data scientist.” Since graduating, I’ve realized the field is so much broader, with paths in analytics, engineering, product, and beyond. I’m now a Senior Data Analyst at Harvey, where I help build scalable data models in dbt and partner with product managers and GTM teams to drive analytics-informed decisions. Before Harvey, I worked at Verkada, where I rebuilt our core data model in dbt and Looker, designed KPI dashboards, and helped shape analytics engineering best practices. Earlier in my career, I was a product analyst at DraftKings, focusing on user journeys and experimentation. I’d love to be the mentor I wish I had: someone who can help you explore the wide landscape of data careers, prepare for job and internship searches, and feel more confident navigating it all. Whether you want honest resume feedback, mock interviews, or just someone to bounce ideas off of, I’m excited to support you however I can.

Organization: BJ's Wholesale Club (https://careers.bjs.com/)
Industry: Retail

Extra or specialized topics:
- Personalized resume feedback
- Interview prep
- Networking advice
- Discussing whether grad school is helpful in their field/role
- Finding early career roles in a tight job market
- Retail data science, business analytics

Hi, I’m Daya! I’m a lead analyst at BJ’s, where I leverage data to support the measurement of large-scale campaigns and in-market tests that inform business strategy. Early in my career, I realized that when you have diverging interests, finding the right opportunity can feel daunting- especially in fast-growing application areas like retail and marketing, where there’s limited guidance on what data science roles look like day-to-day. I’d love to serve as a resource to students curious about careers at the intersection of data science, business analytics, and industrial optimization. During my time at Berkeley, I was drawn to both technical depth and strategic decision-making, and I enjoy helping others navigate that same balance.

Organization: Swish Analytics (https://swishanalytics.com/careers)
Industry: Sports

Extra or specialized topics:
- Personalized resume feedback or building a portfolio or personal website
- Deciding on a focus area (e.g., analysis, data science, or engineering) or domain in industry

Hey there, I'm Derek! I’ve worked for several professional sports organizations and hold both a bachelor’s and master’s in data science from UC-Berkeley. I seek to be the mentor I wish I had when I was at Cal and when I was transitioning into the workforce. I would be happy to be a source of support and guidance for any students! I'm especially eager to help those passionate about breaking into non-traditional data science industries. Data science can be difficult to get going in, and I’m excited to help students who dream of joining the field but don’t know where to start.

Organization: USAA (https://www.usaajobs.com/)
Industry: Insurance

Extra or specialized topics:
- Personalized resume feedback
- Interview prep
- Discussing whether grad school is helpful in their field/role

Hi, I’m Eva. I studied data science at UC Berkeley as a transfer student and am excited to give back as a Berkeley Data Science mentor. My path into data science was not linear, and much of my learning came from working on projects and learning through experience rather than following a predefined path. Outside of traditional work, I’ve applied data and analytics to community projects, including supporting a rural community’s water and infrastructure systems through monitoring, analysis, and automation to improve reliability and shared decision-making. I currently work at USAA as a Senior Business Analyst on conversational AI, where I analyze large-scale interaction data, design evaluation metrics, and run experiments to identify gaps in model performance and inform product decisions. I enjoy helping students with projects, resumes, and early career decisions.

Organization: Amazon Web Services (https://aws.amazon.com/about-aws/)
Industry: Tech

Extra or specialized topics:
- Personalized resume feedback
- Interview prep

Hi, I’m Dhruv - I graduated from Berkeley in 2021 and now work as a Business Intelligence Engineer at Amazon Web Services. At AWS, I support analytics for our Data Streaming & Messaging portfolio (SQS, SNS, Kinesis, and related services) and lead operational excellence initiatives around CapEx reduction, Operational Readiness Reviews, and AWS Console health. I also serve as an Amazon interviewer and enjoy helping candidates navigate the interview process. Back at Cal, I was active in the ASUC and passionate about building community - something I’m excited to continue as an alumni mentor. I know how overwhelming it can feel to carve out your path in tech or data, especially with a multidisciplinary background. I’m always happy to chat about everything from resume reviews and interview prep to landing your first role or exploring longer-term pivots into product.

Organization: GoFundMe (https://www.gofundme.com/c/about-us)
Industry: Tech

Extra or specialized topics:
- Personalized resume feedback
- Discussing whether grad school is helpful in your field/role
- Finding early career roles in a tight job market

The transition to a full-time role, especially in today’s competitive market, can feel overwhelming — particularly for those without external guidance, like first-generation college students. I want to share the lessons I’ve learned and the mistakes I’ve made, so others can be better equipped as they navigate the process of securing full-time opportunities.

Organization: HubSpot (https://www.hubspot.com/)
Industry: Tech

Extra or specialized topics:
- Personalized resume feedback

As a first-generation Vietnamese-American student from Richmond, CA, I’m passionate about mentorship and supporting others on their academic and professional journeys. I began my time at Cal studying Economics, and later added Data Science as a second major - so I understand what it’s like to balance a double major while exploring new academic interests. I started out interested in careers in consulting and finance, and through that journey, I’ve gained valuable experience preparing for both technical and non-technical interviews, reviewing resumes, and offering career guidance. I'm especially eager to support students from first-generation, low-income, and historically underrepresented backgrounds - particularly Southeast Asian students. Whether you're navigating coursework, choosing extracurriculars, or exploring opportunities in finance or tech, I’d love to support you!

Organization: National Center for Ecological Analysis & Synthesis (UCSB) (https://www.nceas.ucsb.edu/) and NSF Arctic Data Center (https://arcticdata.io/)
Industry: Environmental Science, Climate Science, Academia/Research

Extra or specialized topics:
- Personal experience in role or industry
- Exploring data careers in environmental science
- Discussing whether grad school is helpful in your field/role
- Resume feedback
- Geospatial data, sustainability, environmental justice

Hello! I’m excited to meet and speak with Cal students who might be in a similar position as I was in college, confused and unsure of where to go with your Data Science degree. One of the biggest draws to the Data Science major for me was the emphasis on its intersection in a lot of different fields, as I had many interests and explored many majors. I knew I was interested in the natural sciences and wanted to work in an impactful role, but I often felt lost and overwhelmed trying to navigate what was possible. Ultimately, I was able to carve out a career in the environmental sciences with guidance and advice I received from amazing mentors and peers along the way. I’m happy to talk about my experiences at Cal, the environmental field, technical skills I’ve learned/used, seeking out opportunities outside of traditional sectors, and anything else to offer support and encourage you on your journey!

Organization: Meta (Instagram) (https://www.meta.com/about/)
Industry: Tech

Extra or specialized topics:
- Personalized resume feedback
- Interview prep
- Networking advice
- Finding early career roles in a tight job market

Hi all! I graduated from UC Berkeley in December 2021 with a degree in Data Science. I transferred to UC Berkeley and switched my major to Data Science after my junior year. One of the greatest advantages of majoring in Data Science is the flexibility—it opens doors to a wide range of fields and roles, depending on your interests and career goals. Despite the challenges and uncertainty during my college years, I am now working at a Big tech company. I hope that sharing my journey and insights will be helpful and encouraging for you as you plan your own path.

Organization: Micron Technology (https://www.micron.com/about)
Industry: Tech (Semiconductors)

Extra or specialized topics:
- Personalized resume feedback
- Discussing whether grad school is helpful in their field/role
- Finding early career roles in a tight job market

I came to data science a little later in my Cal journey. After switching into the major and deciding to pursue it alongside another, I know what it’s like to navigate uncertainty, feel behind, and keep pushing forward. Since graduating, I’ve continued learning and am now pursuing a Master’s in Data Science to deepen my understanding. I currently apply DS in the semiconductor industry—a challenging but rewarding domain. I’m excited to support students and recent grads navigating the DS major, exploring new domains, considering career transitions, or simply trying to find their place in this fast-moving field.

Organization: Farther (https://www.farther.com/)
Industry: FinTech

Extra or specialized topics:
- Personalized resume feedback
- Interview prep
- Networking advice
- Discussing whether grad school is helpful in their field/role
- Finding early career roles in a tight job market

The transition from Berkeley into a high-growth fintech company taught me that data science can be applied in far more ways than I initially expected. I graduated from UC Berkeley with a bachelor’s degree in Data Science in 2020 and a 5th-year master’s degree in Information and Data Science in 2021. I now work as a product analyst, where I lead analytics that guide executive strategy, product decisions, and long-term growth initiatives. My role spans business intelligence, strategic finance, and building internal tooling. I’m especially excited to mentor students who are exploring careers in analytics, fintech, startups, or entrepreneurship, and to share honest lessons about navigating early-career uncertainty, choosing roles, and building leverage through your degree. Happy Holidays and thank you again for the incredible opportunity!

Organization: Google (https://about.google/)
Industry: Tech

Extra or specialized topics:
- Personalized resume feedback
- Interview prep
- Networking advice
- Discussing whether grad school is helpful in your field/role
- Finding early career roles in a tight job market

I graduated from UC Berkeley in 2019 as a Data Scientist, worked at Facebook post-grad and am now a Data Scientist at Google. I'm passionate about giving back and helping students prepare for internships and full time roles in Data Science.

Organization: Gilead Sciences (www.gilead.com)
Industry: Biopharmaceuticals

Extra or specialized topics:
- Resume editing & feedback
- Career strategy in medicinal and scientific applications
- Personal experience in role, industry, and academia
- Discussing whether grad school is helpful in your field/role

At Berkeley, we are asked to make a lot of decisions; some appear consequential but aren't, while others seem minor but are quite impactful. While in undergrad, I looked for specific signals amidst the noise, and my post-graduate experiences have given me new perspectives and nuance to these opportunities/ preparations. Having just one person that understood my ambition and my interests was helpful to me; I hope I can help do the same for someone else. In undergrad, I tutored Data 100, participated in several research groups, and was involved in a number of student organizations. My academic and professional experience is in scientific and medical applications of data science and computer vision. I'd love to hear about your personal interests, your experience in/out of Berkeley, and your thoughts on the industry. I look forward to talking to you.

Organization: Xbox (Microsoft) (https://careers.microsoft.com)
Industry: Tech

Extra or specialized topics:
- Advice for selecting or applying to graduate programs
- Personalized resume feedback
- Interview prep
- Job search strategy

I am involved in the Data Science recruitment cycle at Xbox and also lead Xbox's Early in Career program. As an international student, recruiting for tech internships was tricky. I wanted to combine tech and sustainability, but didn't know how to choose the right classes. Today, I use my technical skill set and sustainability domain knowledge in the Gaming industry. I would love to be a guide and mentor to students or recent grads who want to break into the tech/ gaming/ sustainability sector. I'd also be happy to chat about advanced degrees, immigration as well as excelling in the tech industry as an undergrad.

Organization: Adobe (https://careers.adobe.com/us/en/)
Industry: Tech

Extra or specialized topics:
- Networking advice
- Discussing whether grad school is helpful in their field/role

Hello! I’m a Senior Machine Learning Engineer at Adobe, where I work on Firefly, Adobe’s generative AI platform. I know breaking into this field can feel daunting, as my journey into this field wasn't straightforward. For me, I know firsthand how mentorship, community, and guidance can make a difference, as it was through the support of mentors, meaningful connections, and the exposure I gained through the Berkeley Data Science program to different concepts, tools and fields that all helped shape my career. I would love to pay it forward and hope to support you - whether that’s helping you navigate career decisions, build confidence, or find your own path in data science and machine learning.

Organization: Mudflap
Industry: FinTech (Ex-sports analytics)

Extra or specialized topics:
- Personalized resume feedback
- Interview prep
- Networking advice
- Discussing whether grad school is helpful in their field/role
- Finding early career roles in a tight job market

There have been a few pivotal times throughout my career and data science undergrad at Berkeley where I looked towards a mentor for confirmation I was along the right path. In each of those moments, they saw something in me that motivated me to take chances I was initially scared of – chances that propelled my career to where it is today.

Since graduating in 2021 in Data Science, I’ve worked at high-growth startups working in pricing for MLB teams and analytics for trucking fintech, endlessly learning in areas such as predictive modeling, time series forecasting, analytics, and leadership. I’m also now planning to pursue a Master’s program in data science!

In the ever-demanding but also exciting tech industry – recruiting, interviewing, and balancing success comes with its own challenges – but also with a lot of opportunities for growth. I’d love to offer my experience in technical and behavioral interviews, resume guidance, networking, general industry questions, and anything else that may be helpful. Excited to meet you!

Organization: Atlassian (https://www.nvidia.com/en-us/)
Industry: Tech (Ex-entertainment)

Extra or specialized topics:
- Networking advice
- Finding early career roles in a tight job market

When I first arrived at Cal, I felt overwhelmed by everything related to computer science and data science. Mentorship helped me discover my passion for the field, which I now use in the entertainment industry, in companies like Warner Bros, DC Comics, and now music (for artists like Sabrina Carpenter, Maggie Rogers, and Chris Stapleton). I would be truly honored to give back and show others that, with the right support and determination, they can absolutely succeed in this area too.

Organization: Asana (https://asana.com/)
Industry: Tech

Extra or specialized topics:
- Navigating early career DS, Analytics, Consulting, or SWE recruiting
- Resume Feedback
- How to approach career fairs & networking
- Class recommendations

I've had the opportunity to lead Asana's Data Science Early Career recruiting and have worked with dozens of undergraduates over the past 4 years to help them land internships & jobs in the Data space. Berkeley is a special place and the school has unlocked so many doors for me so giving back to the Cal community is one of my favorite things to do. At Asana, I lead our ML team that builds forecasting and revenue measurement models and am also glad to share any learnings from my time in the industry.

Organization: Apple (https://www.apple.com/careers/us/)
Industry: Tech

Extra or specialized topics:
- Personalized resume feedback
- Interview prep
- Networking advice

Hi, I’m Saurav! I graduated from Cal in 2021 after studying EECS with a splash of Data Science, and I’m now a ML Engineer / Data Scientist at Apple where I started off building autonomous systems in the Special Projects Group and now work on Apple’s GenAI efforts. Before Apple, I had internships at NVIDIA and at an early-stage startup, giving me a fun perspective on both small, fast-moving teams and large-scale engineering environments. During my time at Berkeley, I served on Data 8/100 course staff and worked in the RISELab, and I’ve always enjoyed helping students think through classes, projects, and career choices. I’m happy to chat about anything from ML/AI and data science to navigating big tech, startups, research… or how to figure out which direction fits you best! And outside of work stuff, you can chat with me about cocktail mixology which ChatGPT says is just data science with lime juice: “lots of experiments, some failed models, and a steadily improving dataset of drinks”.

Organization: Blizzard Entertainment (https://careers.blizzard.com/global/en)
Industry: Gaming/Entertainment

Topics:
- Personal experience in role or industry
- General advice for job searches in their field
- General resume tips for their field (ex: skills to highlight)

Hello! I'm Shirley (they/them). I graduated from UC Berkeley in 2020 and from the School of Information's 5th year Master in Data Science in 2022. I'm currently an Associate Applied Scientist at Blizzard Entertainment where I help develop data-driven tools and solutions to support game development across franchises. I've recently delved into more natural language processing applications in addition to machine learning. I'm happy to share my experience as someone who stumbled into the game industry. During my time at Cal, I struggled to find my major and place on campus as a first generation, low-income student who wanted to embrace both creative and technical endeavors. As a result, I wore a lot of hats: public health Fung Fellow, QACON workshops committee member, secretary in Gamma Rho Lambda, and data science major peer advisor. Feel free to ask about my time at Cal and how I came into the data science major. I'm interested in staying in touch with current data science students and seeing how changes in the field have changed the major and how the major has grown since my time as an undergraduate student. I feel like this is a great opportunity to give back and share my experiences with others.

Organization: The Carlyle Group (https://www.carlyle.com/our-firm)
Industry: Finance

Extra or specialized topics:
- Networking advice
- Finding early career roles in a tight job market

I deeply empathize with students who feel lost in their undergraduate journey or are struggling to secure their first job. My own career has been anything but conventional, which taught me opportunities are endless and are yours to create. You just need your foot in the door. During my time at Berkeley, I concentrated in NLP, studying, at the time, cutting-edge models like Word2Vec, BERT, and GPT-2. It's remarkable how rapidly this field has evolved. What seemed impractical just a few years ago is now transforming knowledge work across industries. I'm open to connecting with mentees interested in finance or LLMs.

Current Organization: Georgetown University School of Medicine
Previously: Data Engineer (UnitedHealth Group)
Industry: Health / Medicine

Extra or specialized topics:
- Personalized resume feedback
- Deciding on a focus or domain
- Internship, research, rotational programs
- Medicine and Healthcare

Hi! I’m a second year med student also involved with data-centric projects including MedStar’s AI CoLab program. Prior to med school, I worked as a data scientist and data engineer in Optum’s Technology Development Program. I remember being a stressed freshman at Berkeley torn between pursuing biology and technology; turns out you can do both! I learned how to apply data science to my passion and emphasize my interdisciplinary background when applying for technical and clinical positions. I’m excited to share the tips and connections I wish I had at the beginning of my journey. Whether you’re looking for guidance through work/school applications or mentorship as you explore different directions you can go with your degree, I’m here to help!

Organization: Company Cam (https://companycam.com/about); Industry: Tech/Business
Previously: Barracuda (https://www.barracuda.com/); Industry: Cybersecurity

Extra or specialized topics:
- Interview prep
- Networking advice
- Discussing whether grad school is helpful in your field/role
- Finding early career roles in a tight job market

I would not be who I am today without the wonderful friends and connections I made through the data science community at Berkeley! My mentors at Berkeley and beyond helped me figure out what I wanted to do in life and have given me the guidance I needed to succeed in my career. I'm hoping to pay that forward by becoming a mentor myself! When I graduated at the peak of the COVID pandemic and lost a job offer, I felt very uncertain I would ever start my career in data science. However, a peer from my network gave me the referral I needed to land my first job after college! As someone who also recruited for a role in the 2025 job market, I understand the very harsh reality of searching for a job today. I want to share my experience and help guide anyone who may be in a similar position! I also love my career as a Product Data Scientist and would love to chat with anyone looking to explore a career in Product Analytics or Product Management!

Organization: NVIDIA (https://www.nvidia.com/en-us/)
Department: Sales, Finance
Industry: Tech (Semiconductors)

Extra or specialized topics:
- Personalized resume and project portfolio feedback
- Engaging in the open source software and data science communities online

If you’re unsure about pursuing a career in data science or sometimes question whether you’re “smart enough” for this field, you’re definitely not alone. I felt this throughout my Cal experience. The advantage of a data science education is that it opens doors to so many different roles-analyst, scientist, engineer, researcher, developer-and makes you valuable across countless industries and departments. But with so many possibilities, figuring out where you belong can feel overwhelming. The supportive data science community at Berkeley helped me find the confidence to blend my interests and education into a meaningful career path. Now, I’m excited to pay it forward by helping you gain the same confidence and practical know-how as you continue your journey with data science. However I can be of service, I’m here to help!