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

Extra or specialized topics:
- Personalized resume feedback
- Interview prep
- 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: Warner Bros Discovery (https://www.wbd.com/)
Industry: Entertainment

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

I’m a first-generation, formerly low-income Latina transfer student with an unconventional college path, taking 6 years to complete my BA. Along the way, I built my network and gained experience through student research and class projects to develop strong technical skills and resumes. I’ve gone through internship technical interviews (not full-time recruiting) and I’m eager to help where I can. I’m passionate about mentoring Latine and Black students from underrepresented backgrounds, especially transfer students interested in technical roles. I’m happy to share guidance on navigating a DS major, internship recruiting, and studying abroad.

Organization: Metropolitan Transportation Commission (https://mtc.ca.gov/about-mtc)
Industry: Transportation

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

Hi, I'm Brian! I graduated in 2024 majoring in data science and computer science. Like many others, I was drawn to data science for its applicability in many different fields while figuring out my academic and professional interests. I've since found a space within civic tech, using technology to help improve government delivery. I currently work as a data analyst at the Metropolitan Transportation Commission, but I previously worked at the CDC as a software engineer as part of the U.S. Digital Corps. I'm happy to speak about my journey navigating tech roles within the public sector, general career guidance, or anything in between!

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
- Finding early career roles in a tight job market

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:
- Networking advice
- Discussing whether grad school is helpful in your field/role
- Non-traditional students advice
- Biomedical Data Science

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/company)
Industry: Law/Tech

Topics:
- Personal experience in role or industry
- General advice for internship or job searches in their field
- Personalized resume feedback
- Interview prep and career strategy

When I was at Berkeley, I had a narrow view of what a career in data science could look like. I thought it was all about becoming a "data scientist" — but since graduating, I’ve realized there are so many exciting directions to explore. At Verkada, I rebuilt our entire core data model using dbt and Looker, designed KPI dashboards, and helped shape our analytics engineering best practices. Before that, I was a product analyst at DraftKings, where I focused on user journeys and experimentation. I’d love to be the mentor I wish I had — someone who can help you understand the 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: LinkedIn (https://about.linkedin.com/)
Industry: Tech

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

Hi there! My name is David, and I graduated from Berkeley in 2021 with a double major in EECS and Data Science. My domain emphasis in Linguistics eventually led me to a Master’s in Computational Linguistics at the University of Washington—a path that proved to be both ironic and serendipitous given the subsequent rise of LLMs.

Since entering the industry in 2023, I’ve had the opportunity to work at the intersection of research and product engineering at Atlassian and Meta, focusing on various fields including LLM tool-calling, Agentic systems, AI Safety, and Recommendation Systems. I'm currently transitioning to a new role at LinkedIn as a Senior AI Engineer, where I'll be working on building models and agentic solutions to help small-and-medium businesses scale their recruiting efforts. I'd love to share all of my experiences in more detail and am happy to discuss things like grad school, working in industry, job searching, and the current AI landscape!

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

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

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

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: 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:
- 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
- Geospatial data science
- 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: Deloitte (https://www.deloitte.com/us/en.html)
Industry: Finance

Extra or specialized topics:
- Personalized resume feedback
- Interview prep
- Networking advice
- Discussing whether grad school is helpful in your field/role
- Applying to grad school
- Applying to full-time work without prior US internship experience
- Applying MBA & Deferred MBA

Hi I'm Kate! I graduated from Berkeley in 2022 in Data Science and Economics. My journey has taken me across different fields and geographies—from neurobiology to data science, from consulting to finance to tech, and from the U.S. to China to Canada. As someone who's explored various paths, I would love to help anyone who's figuring out their own. Whether it’s resumes, interviews, understanding different industries, navigating the evolving job market, or exploring and applying to grad school and MBA programs, I am here to help and support you! Together, we can do Q&As, mock interviews, resume review/editing, explore whether to work or continue your study after graduation, or just chat about what's going on in life:) I'm happy to share my stories transitioning between industries and navigating different job functions. Feel free to let me know what you'd like to focus on for our mentoring sessions as well!

Organization: Interwell Health (https://www.interwellhealth.com/who-we-are/about)
Industry: Health / Medicine

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

I had a chance to get into Data Science before the major existed, finding my passion in the intersection of Public Health and Computer Science. My work in industry has evolved over time, starting as the sole data scientist at a healthcare technology startup, then transitioning into a senior member on a growing Data Science team as the company became a more mature corporation, working to achieve profitability. Throughout it all, I've learned about what's important to focus on as a budding data scientist is a relatively new field, as well as the need for a constant growth mindset, as the advent of LLMs and AI require new skillsets and give us more ways to add value. As a data scientist in healthcare, my primary motivation has been giving patients the chance to live their best lives... and that means a system that is more efficient and less costly at scale. I'm excited to meet you, hear about what motivates you, and watch you go on to do great things.

Organization: Al Otro Lado (immigration advocacy non-profit) (https://www.alotrolado.org/)
Industry: Advocacy / Non-Profit

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

Hi my name is Luna! I started at UC Berkeley with many interests, not knowing exactly what I wanted to do, and ended up majoring in Data Science in part because of how interdisciplinary it was. This allowed me to explore many different fields from CS to psychology (even exploring education briefly), but also made it overwhelming when needing to figure out a career path. I started working at a small consulting firm in public medical care and found myself feeling out of touch with my job. I'm now in the non-profit sector working at an immigration advocacy organization. I'd love to chat about the journey of discovering a job and field that fits your interests!

Organization: Accenture (https://www.accenture.com/us-en)
Industry: Professional and Technology Services

Extra or specialized topics:
- Exploring careers in data analytics and consulting
- Internship recruitment
- Resume feedback
- Networking advice
- Interview prep

Hi! I’m Maricruz, and I graduated from UC Berkeley in Fall 2024 with degrees in Data Science and Spanish. When I first came to Cal as a first generation, low income student looking for upward mobility, the adjustment was rough to say the least. But when I decided to explore data science, it ended up being a great fit. I tutored for data 8, participated in two Data Science Discovery projects, and eventually interned at Accenture, where I now work on data transformation and AI implementation projects. My projects range from data governance and data modeling to building ML models and AI agents.

My journey was definitely not straightforward, but it taught me it’s ok to explore and change directions. I know how overwhelming it can feel when you are still trying to figure out what direction you want to go in, especially if you’re doing it alone like I did. I’d particularly love to support students who are still exploring their interests, trying to gain experience, and navigating recruiting and career decisions for the first time.

Organization: Verizon (https://www.echostar.com/)
Industry: Telecommunications

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

Hey everyone, I’m Martin! I’m a former Data Scholar, and I’ve been working as a data scientist at Verizon since graduating. I know firsthand what it’s like to struggle during undergrad, and I hope sharing my experiences can help as you navigate the uncertainty of landing your first job.

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: Capital One (https://www.capitalone.com/about/)
Industry: Financial Services

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

Hi, I'm Myles! I graduated from Berkeley in 2024 with a degree in Data Science and now work as a Data Analyst at Capital One. In my role, I dig into customer and payment data to uncover patterns that drive product changes. During my time at Berkeley, I was part of Data Scholars and was especially passionate about the intersection of personal finance and data science, applying the tools I learned to bring financial literacy to underserved communities. I am eager to serve as a mentor to make data science a more equitable and accessible field. I know how overwhelming it can feel figuring out what kind of data role actually fits you, especially during undergrad, and I'd love to provide mentees networking advice, grad school prep, and what day-to-day life as a data analyst is really like.

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

Extra or specialized topics:
- Personalized resume feedback
- Interview prep
- Networking advice
- 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: Zynga (https://www.nvidia.com/en-us/)
Industry: Entertainment / Gaminig

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

Hi, I’m Nikki! I graduated from Berkeley in 2024 with degrees in Data Science and Economics. My path into tech was a bit unexpected — I originally came to Cal as a Political Science major before being introduced to data science and the world of tech.

Breaking into tech/product with little to no experience can feel incredibly daunting, and I definitely wouldn’t be where I am today without the friends and mentors I had at Cal who believed in me and helped me navigate the process. In my current role, I work in a heavily data-driven environment focused on experimentation and analytics for mobile gaming. Having recently gone through recruiting and the transition into tech myself, I’m passionate about helping students interested in tech and data better understand how these fields show up in real-world industry settings. Whether students are looking for guidance on recruiting, interviews, networking, or early career decisions, I’m excited to support my fellow Berkeley Bears however I can!

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

Extra or specialized topics:
- Personalized resume feedback
- 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: Asana (https://asana.com/)
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'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: Pave (https://www.pave.com/company)
Industry: Business technology

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

Hi! I'm Rithika! I'm a growth data scientist at Pave, where I use compensation and hiring data to tell stories about the labor market and build top-of-funnel data products. I started in quant research out of Berkeley, moved into fintech at Karat (a startup for content creators), and eventually landed in the comp tech world. Through working in early stage startups, I've been a bit different than a traditional data scientist since outside of making charts, doing analytics, and making models, I've got to build and launch data products, run growth and acquisition, create a content strategy, and a whole lot more.

I care a lot about the data science recruiting process and how to actually communicate your value as a data scientist. Having been through recruiting myself, advised students as a data science peer advisor at Cal, and now running hiring on the other side, I'd love to talk about resume building and interviewing, how to think about different DS roles, or what the startup world data scientist looks like.

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

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

Hi! I’m a third 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: Echostar (https://www.echostar.com/)
Industry: Telecommunications

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

Hi, I’m Vincent! I studied data science and statistics at Berkeley, then did a Master's in Business Analytics at MIT and joined industry, working on forecasting and optimization in a tech consulting setting. I’m happy to help you navigate recruiting, technical interviews, and the different paths within data science, while sharing what working in industry is actually like across DS and MLE roles, or my thought process behind doing grad school vs. going into industry directly.