Data scientist

Data Analytics Minneapolis, Minnesota, United States

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Summary

I'm a recent graduate from SUNY Buffalo with a Master of Science in computer science.
I am equipped with a strong foundation in machine learning and data analysis. My experience as a Data Analyst at ZoomRx Healthcare allowed me to tackle complex business problems for pharmaceutical clients, honing my skills in data analysis tools such as Python, Excel and Tableau.

During my master's, I specialized in machine learning, and took courses in introduction to machine learning, advanced machine learning, and pattern recognition. Additionally, I did a project on Boston crime prediction using AWS Glue. I conducted exploratory data analysis, performed data cleaning with PySpark, and built machine learning models using ARIMA, KNN, and K-means clustering.

In my master's capstone project, I focused on implementing a few-shot learning approach to detect COVID-19 from chest CT images, further highlighting my practical experience in machine learning and medical data analysis.

I'm currently working as a data science volunteer at Third Estate Ventures, and I'm responsible for cleaning and analyzing housing data in the US to report and predict the block groups that have substantial differences in their housing prices due to racial segregation compared to neighboring block groups.

Also, to provide you with a visual representation of my tableau work, please find my recent dashboard here: Contact