Lily Kuo
Data Scientist at Vibrant Emotional Health- Claim this Profile
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Chinese Native or bilingual proficiency
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Japanese Elementary proficiency
Topline Score
Bio
Credentials
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New York State Certified Data Scientist
New York State Education DepartmentDec, 2019- Nov, 2024
Experience
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Vibrant Emotional Health
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United States
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Hospitals and Health Care
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300 - 400 Employee
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Data Scientist
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May 2020 - Present
▪ Implemented Time Series Analysis, Prediction Interval for Poisson Distribution, and Negative Binomial Regression on historical data to forecast future call volume. Utilized by senior management to formulate employee schedules across 14 programs ▪ Applied Spearman and Pearson Correlation to identify the key contributors to fluctuations in KPIs for decision and strategy-making purposes ▪ Utilized Anderson-Darling Goodness of Fit Test and Chi-Squared Goodness of Fit Test on large dimensional data in EDA to examine the distribution and behavior of data for further analysis ▪ Created Parametrizing R Markdowns and Shiny Dashboards on staff performance. Trusted by senior managers to drive employment decisions affecting 1000+ staff in the operational team ▪ Automated creation and distribution of daily, weekly, and monthly reports for government agencies to ensure continued funding. Used R Markdown and RStudio Connect ▪ Created dashboards for executives used to monitor customer satisfaction levels. Assisted with data-driven decision-making to ensure customer success ▪ Orchestrated 4 concurrent, crossed-departmental projects simultaneously, strategically prioritizing each step of the projects to meet deadlines Show less
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NYC Department of Education
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United States
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Primary and Secondary Education
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700 & Above Employee
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Classroom Teacher - Mathematics
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Sep 2013 - Sep 2018
▪ Analyzed department-wide student data, and monitored student requirements and performance to secure a 92-100% student passing rate in New York State standardized math exams ▪ Developed predictive classification model to analyze and predict student performances using features (i.e., grade records). Provided early intervention for students with the highest probability of dropping out ▪ Analyzed department-wide student data, and monitored student requirements and performance to secure a 92-100% student passing rate in New York State standardized math exams ▪ Developed predictive classification model to analyze and predict student performances using features (i.e., grade records). Provided early intervention for students with the highest probability of dropping out
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NYU Langone Health
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United States
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Hospitals and Health Care
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700 & Above Employee
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Minimally Invasive Surgery Junior Research Scientist
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Jan 2009 - Apr 2011
▪ Evaluated and interpreted experiment deliverable quality using Fourier Analysis. Later used for hypothesis validation in patellofemoral instability diagnosis ▪ Designed experimental procedures and modified sample sizes to each project. Aimed to improve accuracy and precision on experimental deliverables using the Power analysis ▪ Validated lab-constructed device through series of mechanical testing on Agarose gels, rubber samples, and cartilage specimens. Modified its structural design, later used for cartilage biomechanical studies on clinical patients Show less
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Education
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Touro College
Masters of Science, Secondary Education in Mathematics -
New York University
Master of Science - MS, Bioengineering and Biomedical Engineering -
New York University
Bachelor of Science - BS, Chemical and Biological Engineering -
2019 - 2020
NYC Data Science Academy
New York State Data Science Certification, Data Science
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