Episode 6: History Major to a Machine Learning Engineer in Fin Tech (28 minutes) Guest Speaker: Winnie Yeung ‘15, Machine Learning Engineer at Block Interviewer: Steven Shi ‘23
Winnie Yeung ‘15 is a machine learning engineer at Block in the San Francisco Bay Area, working on developing and deploying Natural Language Processing (NLP) and Computer Vision-related machine learning solutions to improve customer onboarding experiences. She earned her master’s in analytics at the Georgia Institute of Technology and has previously worked at Fidelity Investments and Visa. She has co-authored an NLP course with Mannings Publication and actively contributes to the open-source community by giving talks at PyCon Hong Kong. While at Middlebury (‘15), she majored in History and worked with Professor Febe Armanios researching Halal food traditions.
About the Data Analytics series: Data analytics is broken down into four basic types. Descriptive analytics describes what has happened over a given period. Diagnostic analytics focuses more on why something happened and predictive analytics moves to what is likely going to happen in the near term. Finally, prescriptive analytics suggests a course of action. Market watchers project the number of jobs for data professionals in the U.S will increase to over 3 million by 2022. This series includes interviews with many professionals who will share their vantage points on how they use data analytics in their career roles, their paths from campus to career, and career advice they would have for students interested in this career space.
Exploring Careers in Data Analytics is a collaborative series developed by the Center for Careers and Internships and Middlebury in DC with content contributions from members of the Middlebury Professional Network and Middlebury students.
Check out our latest MiddVantage: Careers in Data Analytics episode with Max Borrmann ’20, Data Visualization Associate at Planet.
Interviewed by Charlotte Gray ‘21, Max discusses Data Visualization Mapping the Planet.
After graduating from Middlebury with a B.A. in Environmental Studies and Geography, Max joined Planet, applying his GIS skills, and mapping the planet. As a member of the marketing team, he creates visualizations of the planet Earth to support private and public sector clients, as well as NGOs. While at Middlebury, he worked in the Sustainability Solutions lab, designing sustainability-themed graphics and animations in Adobe Illustrator for display on building energy dashboard and to be included in a multimedia video series explaining the details of Middlebury’s energy system to a general audience.
Episode 2: “Be Yourself, Everyone Else is Taken” – Design in a Creative Agengy (27 Minutes) Guest Speaker: Katie Rominger ’14, Design Director at Jones Knowles Ritchie Interviewer: Clara Wolcott ’22
About Katie Rominger ’14. Katie is a graphic designer based in New York City. She holds a B.A. in International Studies from Middlebury College and a degree in graphic design from the School of Visual Arts. Currently, she is a Design Director at Jones Knowles Ritchie, where she develops distinctive graphic identities and brand systems for a wide range of clients. Previously she was an Associate Partner at Pentagram, where she worked on new brand identities for Mastercard, the Academy Museum of Motion Pictures, San Diego Zoo Wildlife Alliance, The Frick Collection, Central Park Conservancy, and many others.
Check out the latest MIDDVantage video with Jeb Burchenal ‘10, Director Data Science, Meta
Interviewer: Cathy Han ‘22
Data analytics is broken down into four basic types. Descriptive analytics describes what has happened over a given period. Diagnostic analytics focuses more on why something happened and predictive analytics moves to what is likely going to happen in the near term. Finally, prescriptive analytics suggests a course of action. Market watchers project the number of jobs for data professionals in the U.S will increase to over 3 million by 2022. This series includes interviews with many professionals who will share their vantage points on how they use data analytics in their career roles, their paths from campus to career, and career advice they would have for students interested in this career space.
MIDDVantage is a collaborative series developed by the Center for Careers and Internships and Middlebury in DC.
While all of these alumni have majored in economics, they are working in a wide-range of professional fields that will be of interest to many of you. They will join us both virtually and in-person to discuss how their major has impacted their career paths.
If you have wondered, “What can I do with my liberal arts major or degree?” Then this is the event for you!
The Beyond Wall Street: A Field Guide for Economics Students features an alumni panel and one-on-one chats, providing outstanding opportunities for you to connect with alumni, faculty, and your peers.
MiddCORE is a J-term class that helps you build skills, create opportunities, and expand your networks. Taught by 30+ industry professionals, the class features the Strategic Challenge, an opportunity for you to apply your liberal arts education to a real-world problem (past partners include Patagonia, L.L.Bean, Orvis, Peet’s Coffee, Google, YouTube, and more.) In addition to the Strategic Challenge, MiddCORE mentors develop weekly hands-on challenges that inspire you to think creatively, operate outside your comfort zone, and deal with ambiguity. This collaborative environment helps you develop the confidence and skills, you’ll need to make a positive impact—on the world and on your future.
David Mendelson ’00 (Computer Science), Vice President Product Development, Wheel, will describe the product development process and discuss the various functional roles involved, e.g., Software Development, Data Scientist, UX/UI Research, Design and Development, Product Management).
Pete McSherry ’06 (Economics), Senior Vice President, Platform Data Strategy and Solutions, Epsilon, will give an overview of the marketing analytics space and speak to how data science is used in advertising & personalization, and how different functional roles interact with data and technology to drive business outcomes. Pete will highlight some of the cutting-edge work Epsilon does in that space. Students attending will also gain a good understanding of the skill sets that help when first starting in the various analytics and consulting roles within the marketing field.
Dan Kelley ’99 (Political Science, German), Engineering Manager, Meta, will share his perspective that software engineering remains a less mature discipline than many other kinds of engineering and is constantly evolving. As software powers many aspects of the world, software engineering is not just evolving, it’s expanding. If you let your skills atrophy, you might find fewer job opportunities than you’d like when you go looking. But with the rate of change and finite time to learn, how do you decide which trends to jump on? Dan will provide his insights to help you consider these trade-offs.
Chris Hench ’11 (German Literature and Economics), Senior Applied Scientist ML/NLP, Amazon Alexa, will describe his path from studying languages and literature to building state of the art NLP models in industry. He will talk about some of the advances in NLP over the years and the current state of the field, as well as what it takes to acquire the necessary skills for industry applications. His unique pathway from literature to data science reinforces the idea that data science is not only for quantitative majors.
Leah Bracken ‘19 (Computer Science), Customer Engineer, Google, will describe the exploding market for cloud solutions, her experience working as a solutions engineer, share how a liberal arts education has prepared her to be successful in this role, and what skillsets are important for entering this technical role.
Meghan Weber ’07 (History), Senior Space Product Manager, Amazon Web Services, will speak to her experience working as a product manager at Amazon Web Services (spoiler: you don’t need to be an engineer to become a product manager!). She will share more about what her day to day looks like, how liberal arts prepared her to be successful in the technology field as a non-engineer, what skill sets are important for the product manager role, tips on how to get started in the field, and how to prepare for an interview.
Elizabeth Knox ’17 (Computer Science), Digital Analyst, McKinsey, will provide a case study of the consulting work in which she is engaged as a cloud engineer. She will discuss the software engineering skills she deploys, as well as the nature of technology consulting and how best to position yourselves for these opportunities.
John Bowllan ’19 (Math), Data Science Technical Lead, Whoop, will share his experiences working as a data scientist in a start-up tech company focused on the wearables market. His discussion will include an overview of the wearables market, the data and tools he uses in his work, the intersection of data science and software engineering, and his interactions with other functional roles.
Make sure you’ve signed up for a 1:1 Alumni Resume Review from 9:00-12:00 in Kitchel House
If you are interested in a career in technology, don’t miss this chance to get valuable feedback on your resume from Middlebury alumni currently employed in the industry. Resume reviews are private, one-on-one conversations and approximately 20 minutes in length. Sign up to meet with alumni in Handshake.