SHENTONG CHEN

VISION, CONSISTENCY, FOCUS, TENACITY

Brooklyn, NY 11201

: 347-***-****

: adceao@r.postjobfree.com

Far-sighted, Analytical and Customer-Focused Data Science Professional with demonstrated expertise in delivering research-based, data-driven solutions that move organizational visions forward. Highly competent at Implementing statistical methods to solve specific business problems utilizing code and improving existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters. Experienced at creating data regression models, using predictive data modeling, and analyzing data mining algorithms to deliver insights and implement action-oriented solutions to complex business problems. Unparalleled capacity to link quantitative and qualitative statistics to improvements in operating standards with expert knowledge of mathematical concepts and data management protocols. STRENGTHS SNAPSHOT

Strategic Planning & Tactical Execution

Business Development/Business Intelligence

Data Communications & Quantitative Analysis

Performance Metrics & Insights

Big Data Queries and Interpretation

Project Lifecycle Coordination

Machine Learning Algorithms

Data Mining, Visualization & Management

Data Analysis, Extraction & Manipulation

Research, Reports & Forecasting Systems

Predictive Analysis/Process Improvements

Operational Efficiency/Network Programming

CAREER NARRATIVE & MILESTONES

Union Pacific Railroad Omaha, NE January 2018 – December 2019 Data Scientist

Fueled business development opportunities by designing a model that can predict company’s sales of new products based on historical purchase data from an online shop, achieving a 25% more accurate prediction of performance than in previous years and saving the company an extra $220,000 in the manufacturing cost of goods sold.

Propelled innovation and game-changing technological advances to Identify problematic fuel sensors and executed strategies and models to examine the accuracy of each sensor, and to detect inaccurately in running sensors which saved the company $2,075,000 in unnecessary costs

Utilized technical knowledge of predictive analytics including machine learning and data mining techniques to forecast company sales of new products which yielded a 69% accuracy rate.

Presented data and conclusions to team in order to improve strategies and operations.

Proposed solutions to improve system efficiencies and reduce total expenses.

Modernized capabilities within organization involving the classification of documents according to their labels by introducing Machine Learning models that take numerical values as input, using logistic regression, Naive Bayes, SVM, XGboost to fitting models, thereby improving and streamlining operational efficiency. EDUCATION

Master of Science in Mathematics(Concentration: Data Science) – University of Nebraska, Omaha, NE Bachelors of Arts in Psychology / Bachelor of Arts in Mathematics – University of Buffalo, New York, NY HONORS & AWARDS

Pi Mu Epsilon American Mathematical Society

TECHNICAL SKILLS

R, SQL, Python, ADV Machine Learning Methods, Data Visualization, Data Cleaning, Tableau, Spark, Beam PROGRESSIVE-LEVEL DATA SCIENTIST

LEVERAGING EXTENSIVE SUPERVISORY EXPERIENCE TO LEAD TEAMS IN ACHIEVING/EXCEEDING BIG DATA SET TARGETS, BOASTING AN IMPRESSIVE RECORD OF SIGNIFICANTLY IMPROVING OPERATIONS