Data Science

Sanjana Gajendran

Consultant
MIMS

I'm a second year MIMS Student with a focus on Data Science and Natural Language Processing. During the Summer 2023, I interned at Genentech as a Data Science Intern.

Thomas Lai

Consultant
School of Information

I am a Product Engineer passionate about applying engineering, data science, machine learning, and problem-solving principles to improve device performance and solve complex challenges. With experience in statistical analysis, lab bench automation, and Python scripting, I have developed a strong technical skill set that allows me to make meaningful contributions to any project. Beyond my work, I am also passionate about exploring new topics and ideas, from the latest technology trends to how to improve the overall well-being of humans. I enjoy applying the first principle to any...

Nicolas Nunez-Sahr

Consultant
Statistics

I lived in Santiago, Chile until I graduated from high school, and then moved to the US for undergrad at Stanford, where I obtained a Bachelor’s degree from the Statistics Department. I then worked as a Data Scientist in an NLP startup that was based in Bend, OR, which analyzed news articles. I love playing soccer, volleyball, table tennis, flute, guitar, latin music, and meeting new people. I want to get better at mountain biking, whitewater kayaking, chess and computer vision. I find nature astounding, and love finding sources of inspiration.

Gaby May Lagunes

Consultant
ESPM

Hello! I’m Gaby (she/her). I am PhD student at the ESPM department, I hold a masters in Data Science and Information from the Berkeley ISchool and I have 5+ years of industrial experience in different data roles. Before that I got a masters in Engineering for International Development and an undergraduate degree in Physics from University College London. And somewhere between all that I got married, survived the pandemic, and had two awesome boys. I’m very excited to help you use data to enhance your work and your experience here at Berkeley!

Ini Umosen

Consultant
Economics

Ini is a PhD candidate in the Department of Economics. She studies topics in labor economics and the economics of education using applied econometrics methods. Current work in progress includes evaluating the impact of school choice systems and investigating gender and racial bias on gig platforms. She is a former Graduate Research Fellow at the California Policy Lab. She has also been a tutor for econometrics, labor economics, and macroeconomics.

Python Fundamentals: Parts 4-6

March 11, 2025, 11:30am
This three-part interactive workshop series teaches you intermediate programming Python for people with previous programming experience equivalent to our Python Fundamentals: Parts 1-3 workshop. By the end of the series, you will be able to apply your knowledge of basic principles of programming and data manipulation to a real-world social science application.

Python Fundamentals: Brief Introduction (60 minutes)

February 14, 2025, 3:30pm
This is a lightweight module aimed to provide a brief introduction to Python using Jupyter Notebooks.

The Creation of Bad Students: AI Detection for Non-Native English Speakers

January 21, 2025
Valeria Ramírez Castañeda
by Valeria Ramírez Castañeda. This blog explores how AI detection tools in academia perpetuate surveillance and punishment, disproportionately penalizing non-native English speakers (NNES). It critiques the rigid, culturally biased notions of originality and intellectual property, highlighting how NNES rely on AI to navigate the dominance of English in academic settings. Current educational practices often label AI use as dishonest, ignoring its potential to reduce global inequities. The post argues for a shift from punitive measures to integrate AIs as a tool for inclusivity, fostering diverse perspectives. By embracing AI, academia can prioritize collaboration and creativity over control and discipline.

Command Line Fundamentals

February 11, 2025, 10:00am
In this workshop, we provide a basic introduction to how to interact with your computer via terminal. We are going to focus on Bash (Bourne-Again Shell) or Zsh (Z Shell), which are one of the most commonly used Unix/Linux shells.

GitHub Fundamentals

February 20, 2025, 10:00am
This introductory workshop covers basics of GitHub using GitHub Desktop, a GUI Git client. This workshop is designed for people with no previous experience with Git or GitHub. We will cover key concepts and workflows, including version control, repository creation, branching, merging, and collaboration.