Worked as an Intern in Data Analytics & Research Computing
at the University of Chicago Research Computing Center Sept. 2022 - Sept. 2023
Proficient in managing complex, large-scale data sets, I utilize languages like Python and SQL, along with libraries like Pandas and NumPy. My experience with Big Data technologies such as Apache Spark, Apache Hadoop, and Amazon Redshift allows for effective data handling and processing. With web scraping techniques and data cleaning and data transformation abilities, I transform raw, intricate data into a digestible format for further analysis.
My proficiency in Seaborn, Tableau, Power BI, and Microsoft Excel enables me to craft compelling visual narratives that encapsulate data trends. More than just creating visually appealing graphs, I leverage these tools to weave insightful stories from data, presenting them in a way that speaks to both technical and non-technical audiences. Harnessing my strong communication skills, honed through diverse leadership roles, I make the data "speak".
With a robust foundation in applied mathematics and programming, I use Python, C++, R, and MATLAB alongside libraries like Scikit-Learn, TensorFlow, and PyTorch to build sophisticated predictive models. My proficiency in a wide range of machine learning algorithms allows me to decipher complex patterns and trends in data. I am committed to leveraging data to yield meaningful insights that enhance decision-making processes.
As a passionate data specialist, my curiosity isn't limited to the digital realm. Just as I delve into the intricacies of datasets, I find joy in the art of cooking and take pleasure in exploring the myriad tastes of different restaurants. Through the lens of my camera, I capture the world's fleeting moments, highlighting the beauty in every frame, much like how I discern patterns in data. Yet, amongst all these interests, nothing beats the time I spend playing with my cats. Their playful meows and purrs remind me of a fundamental principle in my profession:
