Excel

Alex Bruefach

Discovery Graduate Fellow
Materials Science and Engineering

Alex is a PhD Candidate in materials science and engineering developing image processing and machine learning techniques for extracting information from electron microscopy datasets. Her primary focus is understanding what information is transferred from various feature representations of images. She has extensive experience collaborating across boundaries and is passionate about brainstorming innovative approaches to challenging data science problems!

Ella Belfer

Consultant
Energy and Resources Group

Ella is a PhD student in the Energy and Resources Group. Her research examines water governance in a changing climate, drawing on geo-spatial techniques. Her past work includes applications of topic modelling in climate change adaptation research, and inductive coding of semi-structured interviews.

Shusheng Li

UTech Management
Data Science
Economics

Shusheng is currently a fourth-year undergraduate student studying Data Science and Economics. He is currently a part of the UTech Management team at D-Lab. Shusheng loves playing all types of sports because it's a great way to stay fit and be together with friends. Working as a UTech Front desk, Shusheng loves helping others and directing them to the right resources available.

Excel Data Analysis: Introduction

September 7, 2022, 4:00pm
This is a three-hour introductory workshop that will provide an overview of Excel, with no prior experience assumed. Attendees will learn how to use functions for handling data and making calculations, how to build charts and pivot tables, and more.

Frances Leung

Data Science Fellow
School of Information

Frances Leung is a master’s student at UC Berkeley School of Information where she focuses her studies in information and data science. She has a keen interest in leveraging data-driven insights to better understand consumer behaviors and the world around us. In her professional work as a management consultant, she advises retailers and consumer businesses on digital transformation and creating web/mobile experiences that delight consumers through a human-centered approach. Frances holds a Master in Business Administration from York University, Schulich School...

Josh Everts

School of Information

I'm a Master's student at the Berkeley School of Information in the MIMS program, studying Data Science. I am especially interested in applying the statistical and computational methods of Data Science to problems within the natural sciences and transportation. To this end I am currently helping with the data analysis of a spectroscopy experiment at SLAC National Lab. Outside of academic work I enjoy improving my cooking skills, biking, and learning about history and geography.

Irene Farah

Instructor
City and Regional Planning

Irene is a PhD student in City and Regional Planning. Her research interests lie at the intersection of urban geography, political science, and public health. In particular, she studies street vendors in Mexico City and how the spatiality and politics of their working conditions impact their access to healthy food. She strongly believes in connecting with other social scientists to share perspectives on how to use technology to acquire greater knowledge of social phenomena.

Sam Temlock

Data Science Fellow
School of Information

Sam (he/him) is a Master of Information and Data Science graduate student at the School of Information, with experience in Cybersecurity and Network Programming. He holds a BS in Computer Systems Engineering from Rensselaer Polytechnic Institute and has previous experience in consulting at Deloitte. He has experience with Python, R, SQL, machine learning, data analytics, statistical analysis, and research design.

Connor Haley

Data Science Fellow
Haas School of Business

Connor is an MBA/MEng student with an undergraduate degree in statistics. He spent the past three years in economic consulting, focused on designing competitive electric power markets to produce optimal outcomes. His technical background is in R, Excel, Visual Basic (VBA/macros), and statistical methods.

Marina Blum

Data Science Fellow
School of Public Health

Marina is a master's student in the Health and Social Behavior division of the School of Public Health. She has extensive experience in ATLAS.ti and can help you get the most out of the program. She is passionate about data visualization, and is happy to help with related questions and questions on qualitative methods.