Lucas Zhang
Data Science Manager @ SentiLink
About
A passionate data scientist with advanced machine learning and deep learning working experience. Strong mathematical and statistical background. Proficient in Python (Tensorflow, Keras Trax), R, SQL. Continuously study deep learning knowledge on Coursera. CFA level 2 candidates
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United States
Information Technology & Services
Python, R, Machine Learning, Deep Learning, Data Mining, Data Analysis, SAS Programming, Project Management, Microsoft SQL Server, Matlab, Git, Sentiment Analysis, Tableau, Natural Language Processing (NLP), Investment Science, Time Series Analysis, Monte Carlo Simulation, Neural Networks, R (Programming Language)
Experience
Data Science Manager
SentiLink
Partner Enablement Manager and Senior Data Scientist
SentiLink
San Francisco Bay Area
Data Scientist & Sales Support Team Lead
SentiLink
San Francisco Bay Area
Data Scientist
SentiLink
San Francisco Bay Area
Data Scientist
Paul Fredrick
Baltimore, Maryland Area
· Develop machine learning and deep learning models from scratch to drive sales and improve marketing campaign efficiency. · Uncover critical business insights and solve complex problems to support business strategies through data mining. · Build data infrastructure and dynamic dashboard to monitor KPIs for customers base, products, and marketing channels performance.
Data Science Intern
The Johns Hopkins University
Baltimore, Maryland Area
· Developed machine learning model to predict incidence and severity of acute kidney injury after admission. The proposed model is a combination of random forest and lasso regression and results in 0.81 AUC. · Acknowledged in research paper published on Annual of Emergency Medicine in Jul 2020.
Data Insights Intern
SECU Credit Union
Baltimore, Maryland Area
· Developed Natural Language Processing algorithm to clean raw merchandise name in transaction data with 0.93 accuracy. · Conducted membership retention analysis to uncover root causes of low retention rate in previous years and supported management decision making.
Data Scientist Intern
The Johns Hopkins University
Baltimore, Maryland Area
· Developed hierarchical multivariate survival models to study risk factors of mortality on medical specialist waiting lists. · Published research paper in BMC Public Health in Feb 2019.
Education
Johns Hopkins Whiting School of Engineering
Applied Mathematics and Statistics
Beihang University
Mathematics
Lucas Zhang's Contact Information
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