Nolen Johnson
Project Team Member @Datasc
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WORK HISTORY
Project Team Member @Datasc
Los Angeles, CA, US
Project: Equity-Guided Urban Heat Mitigation: A spatial-ML framework for prioritizing shade interventions in LA city. Collaborated with a team of 7 to apply geospatial analysis and machine learning to study disparities in urban heat distribution.
EDUCATION
San Jose Sate University
Bachelor of Science - BS, Economics
San José State University
Minor, Computer Science
University of Southern California
Master's degree, Applied Data Science
ABOUT NOLEN JOHNSON
I\'m a data scientist and engineer passionate about transforming complex datasets into scalable, insight-driven solutions.Currently pursuing my M.S. in Applied Data Science at USC\'s Viterbi School of Engineering, I specialize in machine learning, statistical modeling, and data pipeline optimization.With a background in Economics and Computer Science from San José State University, I combine analytical rigor with technical depth to deliver data-driven impact.At Cisco, I applied predictive analytics to optimize licensing workflows—reducing case volume by 9% and earning a 97% customer satisfaction score.Previously at Infosys, I led Agile development teams SQL, and Java, enhancing model deployment efficiency and database performance.Core Data Science Skills:Machine Learning: Regression, SVMs, Random Forests, CNNs (Keras), clustering, feature engineeringData Engineering: Data cleaning, ETL pipelines, model deployment, API integrationAnalytics & Visualization: NumPy, pandas, scikit-learn, Matplotlib, Seaborn, Power BIDatabases: SQL, MySQL, relational modelingMy Projects include geospatial ML for urban heat mapping, a Monte Carlo K-Means simulation, and award-winning econometric analysis.I am motivated to design ethical, efficient, and interpretable models that turn raw data into actionable intelligence for business and social impact
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