Yueru Li
Applied Ai Ml Associate Senior - Modeling Data Full Stack Data Visualization @JPMorganChase
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WORK HISTORY
Applied Ai Ml Associate Senior - Modeling Data Full Stack Data Visualization @JPMorganChase
Wilmington, DE, US
EDUCATION
The City College of New York
B.S., Chemistry
Stony Brook University
Doctor of Philosophy (Ph.D.), Chemistry - Applied Materials Science (Energy Storage)
University of Delaware
Master of Science - MS, Business Analytics and Information Management
LaGuardia Community College
A.S., Math and Science
SKILLS
ABOUT YUERU LI
Ph.D. Level Scientific Background Data Full Stack Professional / Machine Learning Engineer/ Data Engineer / Data Analyst Data Project End to End: Extract, transform, and load (ETL) data, perform feature engineering, model implementation, and generate AI integration Tech stacks: Language: Python, SQL, BASH, SAS, R, NoSQLModels: Decision Tree, Random Forest, KNN, Regression, K-means, XGBoost, Neural NetworkML models Built & Scaled Up ETL tools: Airflow, Spark (pyspark, spark-SQL), Alteryx, Kafka, Control-M, HadoopDatabase Design: MySQL WorkbenchDeployment: Docker, KubernetesData visualization: matplotlib, seaborn, plotly, Qlik Sense, ggplot, TableauData analysis: OriginLab, MinitabAWS: S3, EC2, EMR, RDS, Athena, SagemakerIn addition, 2.5 years of industrial (battery cell performance) data analysis and 5 years of cutting-edge graduate research experiences
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