Polama Partners
At Paloma Partners, I am a data scientist.
Weiss Multi-Strategy Advisers
At Weiss Multi-Strategy Advisers, I was a senior data engineer on the Risk Team where I have ensured data quality and consistency throughout the firm. I designed and implemented schema for internal Bloomberg Data License Data, built out new advanced analytical tools in Python, and made those tools accesible to PMs so they could more easily manage risk.
IBM
At IBM, I was a full stack AI and Analytics consultant. There, I worked with clients to to drive insights through data science and ensure that their data can be accessed throughout their enterprise. For my last project, my team designed a data architecture solution for a Fortune 500 automotive company. In the past, I worked in-house to test and develop forecasting and data harmonization software for clients.
The University of Chicago
When I first enrolled in UChicago, my goal was to study physics, attend graduate school, and eventually be a professor and perform research. Finding patterns from data and to then understand a larger picture through math was exciting, and I was excited to pursue this field in such a rigorous environment. During my time at UChicago, I challenged myself while helping others grow. I graduated in July 2021 with a BA in Physics with honors and a BS in Mathematics; my favorite classes included Graduate Quantum Mechanics and Graduate Relativity; I became the President of the Society of Physics Students, where I ran several fundraisers to promote STEM education; I was a Teacher's Assistant for Calculus I-IV, where I helped students learn and understand the subject during my office hours.
I was fortunate enough to be able to intern at Fermilab, a national physics laboratory, throughout college. When I was a third-year, I worked in their theoretical physics department. For my main project, I worked alongside theoretical physicists, nuclear physicists, and neutrino physicists to develop software that could simulate the interactions between particles in any environment. More specifically, I developed software that simulated the interactions between known neutrinos and theoretical neutrinos using Monte Carlo simulations.
While at Fermilab, I found that my true passion lay in coding and running simulations. It was during this period that I taught myself how to implement neural networks for forecasting, NLP, and image recognition. I also took classes, such as Introduction to Random Matrices, to pursue this interest. After several side projects, I decided to pursue data science and engineering full time after college.
Skills
Here are a few tools and techniques I've been working with recently:
- Python
- Pandas
- Numpy
- Dash
- Plotly
- Flask
- Swagger UI
- MatPlotlib
- Tensorflow
- Sklearn
- NLP
- Forecasting
- SQL
- Cron
- Factor decomposition analysis