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Data Assistant

Baltimore, Maryland, United States
October 26, 2018

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Jiarui (Sherry) Cai

**** ******* **, *********, ********, 21287, 667-***-****, LinkedIn:


Math-talented data scientist with 5 years of programming experience and 3+ years of experience in predictive modeling, data processing, data mining and science research. I enjoy combining my technical skills and data experience to solve problems, discover business insight and create data products. Expertise in R, Python, H2O and SQL. Education

Master of Engineering Applied Mathematics and Statistics Johns Hopkins University May/2018 Bachelor of Science Mathematics and Applied Mathematics Sun Yat-sen University(SYSU) Sep/2012-June/2016 Main Coursework

Calculus, Linear algebra, Probability, Mathematics Analysis, Mathematics Statistics, Data Mining, Statistics Inference, Mathematical Modeling, Time Series, Survival Analysis, Bayesian Analysis, Network Operation, Regression, C++, Data Instruction and etc. Internship Experience

Data Science Resident, Johns Hopkins Health System, Operations Integration Baltimore MD, June/2018-present

Conduct data organization, data mining, modeling, statistical analysis, business intelligence gathering and research support; Modeled complex problems with machine learning models and discovered insights from large datasets (10M+) for business and operation strategies.

Data Science Intern, Johns Hopkins Health System, Operations Integration Baltimore MD, July/2017-May/2018

Detected equipment movement pattern and the co-evolution between different areas from RTLS (Real Time Location System) data, using the social network analysis methods and longitudinal multivariate regression models. Resulted in significant improvement with a 50% increase of inventory in the Emergency Department. Data Analyst Internship, Standard Chartered Bank

Guangzhou China, Jan/2015-Apr/2015

Reported on the influence of daily news and policy adjustments on stock in Asia, Europe, and the U.S. and wrote a personal analysis of future trends. Analyzed long-term commodity market trends and their influence and reported to fund managers. Project Experience

Mother’s Stress and Children’s Morbidity Study, JHU Project of Applied Statistics, Mar/2018-May/2018 Customer Inbound Communication Decisions, JHU Project of Bayesian Analysis, Nov/2017-Dec/2017 Outlier Detection Analysis, JHU Project of Mathematical Modeling, Mar/2017-May/2017 Student Alcohol Consumption Analysis, JHU Project of Mathematical Modeling, Jan/2017-Mar/2017 Research Experience

Bone rebuilding modeling, Guangzhou, China Undergraduate Essay, Oct/2015-May/2016 Analysis of Stomach Cancer, Guangzhou, China Lab of Computational biology, Nov/2014-Nov/2015 Proficiency

Languages: Mandarin, Cantonese and English

Software and Programming: R, MATLAB, Python, SQL, Arena, Spark, Tableau and Latex,

Skills: Data Mining, Statistical Inference, Mathematical Modeling, Social Network, Regression, Markov Chain, Bayesian Statistics, Machine Learning, Simulation, Time Series. Instruction/ Leadership Experience

Teaching Assistant, Data Mining, Johns Hopkins University, Aug/2017-Dec/2017

Teaching Assistant, SYSU Psychological Counseling Office, Apr/2014-June/2016

Team Leader, “Looking for the Footsteps of SYSU Alumni ”, July/2013-Sep/2013

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