Ritvik Iyer

Data Science Fellow

Bluebonnet Data•  May 2020 - Present

• Provide analytics insights to grassroots, down-ballot political campaigns to target potential voters, place ad buys, and analyze early voting returns • Filtered and merged large, unstructured data sets to develop voter profiles and improve contact lists resulting in 30% increased donor callback rate

Research Assistant

UC Berkeley Department of Molecular Biology•  July 2019 - Present

• Analyzed time-series data on Cassiopeia jellyfish pulse initiations to understand patterns in neural activity • Processed 10+ TB image files with Python OpenCV to measure movement during sleep-wake cycles • Implemented multi-threading in analysis scripts for large-scale image processing in Python, decreasing compute time by 75%

Module Developer, Course Tutor

UC Berkeley Division of Data Sciences•  May 2019 - Present

• Developed interactive Jupyter Notebooks to teach 250+ students core data science skills including programming, data visualization, and survey design • Graded homework, held office hours, and taught weekly tutoring sections for multiple data science and computer science courses

Data Science Intern

AiLanthus•  January 2020 - May 2020

• Built predictive ML models to classify patent eligibility under U.S. Code §101 with 88% final accuracy based on patent texts and metadata • Used re-sampling (SMOTE) methods and feature engineering to reduce class imbalance and increase data robustness • Designed ensemble LSTM-Random Forest model with 20% higher precision & recall rates on held-out datasets with TensorFlow and Sk-Learn

University of California, Berkeley

Computer Science, BS•  August 2018 - Present

Double Major in Computer Science and Statistics