I’m deeply passionate about Data Science and have over 2 years of experience utilizing it across diverse fields such as Consulting, Energy, and Academics. This summer, I worked as a Solar Analytics Intern at EDF Renewables and implemented a data tracking system using Python to identify misaligned solar trackers among 400+ units. Previously, I worked as an Associate in the Reporting & Analytics team of GLG where I conceptualized reports and executive summaries by analyzing data from surveys. I have strong technical competence and an academic background in mathematics and statistics.

Technical Skills: SQL, MySQL, Python, R, Decipher, Dapresy
Libraries: Pandas, Numpy, sklearn, Matplotlib, Plotly, Seaborn, NLTK, dplyr, tidyverse, ggplot2, wordcloud2
Data Analytics: Regression Analysis, Machine Learning, Time Series Analysis, Hypothesis Testing, NLP
Platforms: Tableau, Power BI, Microsoft Visual Studio, Git, Advanced Excel, PowerPoint, G-Suite

Outside of Work

In my spare time, you’ll (almost unerringly) find me hiking, writing and occasionally, paragliding 😃

Proficient in Python, R and SQL

If my skills and interests resonate with what you’re looking for, reach me at ss6343@columbia.edu