Ananya Pandit
Data Science
Hi, my name is Ananya and I’m a second-year majoring in Data
Science. I chose Data Science because I’ve always been interested
in how data can be used to understand real-world problems and
drive meaningful decisions, especially in areas like energy,
infrastructure, and social impact. I hope to use my degree to
build systems that make data more accessible and useful,
particularly in ways that improve efficiency and decision-making
at scale.
I was on Geek Team, and I joined because I wanted to apply what
I’ve been learning in a more hands-on, collaborative environment.
It was also a great opportunity to work with people from different
technical backgrounds and learn how to build something end-to-end
as a team.
During the project, I worked on developing machine learning models
and building the data pipelines that supported them. This involved
handling messy datasets, designing preprocessing workflows, and
iterating on models to improve performance. A big part of the
experience was figuring out how to connect everything — from raw
data to model output — and making sure it actually worked in a
practical setting.
I gained a much stronger understanding of how machine learning
systems are built and deployed, not just trained. I also developed
my ability to debug issues, work through unfamiliar tools, and
think more critically about data quality and system design.
My favorite part was seeing our models start to produce meaningful
results after multiple iterations. There’s something really
satisfying about going from raw, unstructured data to insights
that actually work and improve over time.
This experience reinforced my interest in data engineering and
machine learning systems, and gave me a lot more confidence
working on complex, open-ended problems. It’s definitely an area I
want to keep exploring moving forward.
Ava Williams
Computer Science
Hi, my name is Ava Williams and I am a third year computer science
major. I chose computer science because I am interested in
developing technology that can help others. I decided to
participate in Team Tech because I wanted to help develop
sustainable technology to aid the farmers of R’Garden.
My main contribution to Team Tech was developing the machine learning
model which takes soil data to make recommendations to farmers.
Machine learning is a huge technical passion of mine, so I am
grateful I got to work on that part of the project.
My favorite part of Team Tech is getting to work with fellow women who are
passionate about engineering. I treasure the connections I have
made and the knowledge I have gained.
Sanvi Srinivas
Computer Science
My name is Sanvi and I'm a second year majoring in Computer
Science. I initially chose CS because I was somewhat good at math
in high school, but over the last two years I've gotten to work on
various CS projects (backend, frontend, full-stack,
infrastructure) and I've loved learning new tools.
I was on the geek and wiring team, where I was pretty much a
liaison between the two teams. I joined Team Tech my freshman year
and loved the people I got to meet, not only people from various
engineering disciplines, but also women in STEM! I also loved our
leads, Rewa and Sabrina, and definitely wanted to continue working
with them.
My specific responsibilities included retrieving data from the
environmental sensor, implementing the environmental, thermal, and
light sensor data ingestion pipeline (from the Pi5 to the database
using Python and MQTT), programming the IMU sensor as a ROS2 node
for rover navigation, and enabling the autonomous aspect of the
rover by implementing remote Pi5 IP address retrieval and BLE from
our app to the Pi5 to control turning the motors on and off.
I learned so many new skills, mainly through being part of two
subteams: keeping leads updated on my work, staying organized and
managing time when the workload got heavy, and documenting
everything thoroughly. I also got to understand the system design
so much more deeply, and I really appreciated being given
ownership over my code.
In the past two years on Team Tech, I've definitely been
challenged to learn new things, whether that's whole chemical
processes or networking protocols, and that has been my favorite
part of the experience.
I've grown so much academically and professionally through Team
Tech. Given the workload and busyness, staying on top of things
has been so important, especially while balancing coursework and
other aspects of my life. Team Tech has really shown me how much I
love my field, and I've also found a newfound passion for the
networking domain through the work I got to do this year.