Sunya Abbasi Email & Phone Number

California, United States

Uc Berkeley

Build Python programs in Jupyter Notebook to analyze children’s exposure to white light in several different environments throughout the day. Determined the optimal light threshold for indoor versus outdoor classification by building a receiver operating characteristic(ROC) curve with scikit-learn. Findings resulted in an increase in classification accuracy by 33%.Managed data collection project using a wearable watch technology to analyze light exposure and test Python programs.Create data visualizations using seaborn and matplotlib for a weekly report of insights and patterns to principal investigator and fellow researchers.

Berkeley, California, United States

Lead 2 weekly discussion sections of 30+ students, hold office hours, and provide support to students taking the course Foundations of Data Science at UC Berkeley.Collaborated with faculty at Tuskegee University to build a data science partnership that provides data science resources and instruction to Tuskegee students.

Berkeley, California, United States

Berkeley, California, United States

Worked under Data Analysts at the company ZeeMee to help streamline data analysis process by developing a Python program that outputs key visualizations and analysis metrics for ZeeMee's app users and non-users using end-of-year user data.Reported weekly to the data analyst team and presented key insights at a data science symposium.

Berkeley, California, United States

Built and refined several classification models including Random Forest, Logistic Regression, and Support Vector Machine to classify the speaker of a quote into one of 8 categories.Developed several new features that improved model precision by 5% from next-best model through exploratory data analysis and Natural Language Processing techniques.