Zheming Chen

443-***-**** ● **** Catawba Rd, College Park, MD 20740 ● adbbfh@r.postjobfree.com

https://www.linkedin.com/in/zheming-chen-4204b1170/ EDUCATION

University of Maryland, Robert H. Smith School of Business College Park, MD, USA Master of Science, Business Analytics, GPA 3.65 – TERP Scholarship August 2018 – December 2019 Wuhan University of Science and Technology Wuhan, Hubei, China Bachelor of Engineering, Mechanical Engineering and Automation September 2011 – June 2015 TECHNICAL SKILLS

● Programming Languages: Python (NumPy, Pandas, Seaborn, Matplotlib), R (RandomForest, XGBoost)

● Database Management: SQL (MySQL, Microsoft SQL Server), Big Data (Hive, Pig, Spark, Hadoop, HDFS)

● Data Mining: Regression, Regularization (LASSO, Ridge), Deep Learning (CNN,GAN), Clustering (K-means), KNN

● Tools: Tableau, PowerBI, AWS, Google Analytics, Advanced Excel (PivotTable, VLOOKUP, Solver) PROJECT EXPERIENCE

Effectiveness Analysis for Healthcare Industry (SQL, Tableau, R, AWS)

● Analyzed 100,000 visitor records to predict 30-day follow-up visits to improve service quality and avoid financial penalty

● Performed variable correlation analysis, visualized data in Tableau, utilized clustering to identify potential patterns of the returning rate in multiple dimensions and applied dimensionality reduction for feature engineering and model building

● Applied XGBoost to raise accuracy by 10.45% and raise true positive rate by 30.30% compared to baseline Stock’s Price Prediction (Python, TensorFlow)

● Obtained stock data of IT segment through 5 years with python to predict if a stock’s price will raise 5% in 1 week

● Developed 3 models to predict if a stock’s price would rise 5% in 5 days: a convolutional neural network (CNN) as the classifier, an XGBoost model as the baseline, and a generative adversarial network (GAN) model to fix the unbalanced data and achieved 85.45% accuracy and 81.30% true positive rate in 72 stocks in IT sectors WORK EXPERIENCE

Analytics Corps College Park, MD

Analytics Volunteer for Judicial Analytics Project December 2019 –

• Pre- Processed over 1000 judgments judicial documents with hierarchical clustering based on the bag-of-words

(BOW) occurrence to define the ruling of each file

• Run ANOVA testing on the feature set used for classification and looked at the top 20 features to make sure that none of them could be construed as being directly linked to the label

• Created SVD matrix of BOW and TF-IDF matrix for later black-box approach and word-frequency-based features for later white-box approach

Hongxuanjing Real Estate Sale Company Wuhan, Hubei, China Property Consultant December 2017 – May 2018

• Analyzed the income level and property demand of the prospective clients and educated them on the current real estate market, process, and procedures in the selling and buying of their property

• Developed sales and marketing strategies for short sale properties and communicated with lenders, escrow officers, title representatives, home inspectors, etc. in order to complete the closing process Foxconn Wuhan, Hubei, China

Supplier Quality Engineer July 2015 – November 2017

• Analyzed failure rates of all suppliers based on the data extracted from the SAP system and drew up the plan of quality control.

• Analyzed failure rate of cables in the Czech Republic, conducted the improvement schemes and made the failure rate decreased from 1000 DPPM to 500 DPPM

• Analyzed the failure rates of cables of the past 3 years and formulated the incoming quality control standard of all cables based on the function and assembly process of the cable.

• Formulated the date code tracking system using VBA in Excel to optimize the Incoming Quality Control process

• Built the schema of suppliers’ products relational database and conducted the system upgrade of the suppliers’ database

Contact this candidate