WEICONG FENG

347-***-**** adltgg@r.postjobfree.com

https://www.linkedin.com/in/weicongf/

PROFESSIONAL SUMMARY

Information System Informatics graduate at the City University of New York, College of Staten Island, with excellent academic performance and strong hands-on experience. Combines deep and varied industry knowledge and drive with visionary aspiration to pursue career change goals in the data science and software industry. Key expertise in machine learning, data analysis, software development and project management.

EDUCATION

The City University of New York, College of Staten Island Staten Island, NY B.S. Information System Informatics, Minor Data Analytics and Business January 2020 Cumulative GPA 3.989/4.0, Summa Cum Laude

Coursework: Data Structure, C++, Algorithm, Database System, High Perf Comp, Statistics, Business Data, Linear Regression, Web Database Application, Project Mgmt, System Analysis, Info Sec & Risk Mgmt, Data Comm& IT, Microeconomics, Accounting, Investment Analysis Skills: C++(4 yrs), Python(3yrs), R, Git, PHP, HTML, HPC, mySQL, MongoDB, PostgreSQL, STATA, SPSS, ArcMap, SVM, Linear Regression, Decision-Tree, AWS, MS Project Guangdong University of Foreign Studies Guangzhou, China MBA 2011

Guangdong Teaching College Guangzhou, China

BS in Physics

1996

CERTIFICATIONS

Machine Learning with Python Certification IBM on Coursera

Scalable Machine Learning on Big Data using Apache Spark IBM on Coursera

Introduction to Deep Learning & Neural Networks with Keras IBM on Coursera

Deep Neural Networks with PyTorch Certification IBM on Coursera

Hadoop Platform and Application Framework University of California, San Diego

Project Manager Certification China

SKILLS

Artificial Intelligence (Keras, TensorFlow, PyTorch, scikit-learn, nltk, textblob, Azure AI) Machine Learning Models (Deep Learning, Decision Tree, KNN, Linear/NonLinear Regression, Polynomial Regression, Logistic Regression, Bayesian, Naïve Bayes, SVM, K-Mean) Data Analysis (PowerBI, Tableau, STATA, ArcMap, SPSS, Python, R) Database (mySQL, MongoDB, PostgreSQL, Spark)

Distribute Computation (HPC, Hadoop)

Cloud (AWS)

Programming (C++, Python, R, PHP, VBA, VBScript, HTML) Statistics Project Management Business Management Microsoft Office EXPERIENCE

Mediterranean Shipping Company New York, NY USA

Business Transformation Intern 2019

Logistics efficiency was improved significantly by screening vessels that have time out processing to solve (big-scale data transformation by R, VBA, and MS SQL). CadreNet Inc. Staten Island, NY USA

PowerBI Intern 2019

Power BI dashboards were created by using production data and order data. Production resources utilization rate and profitable capability were improved significantly. Research Foundation CUNY Staten Island, NY USA

Research Staff 2018-2019

Social media classification by AI, Python, R and PostgreSQL Natural Langue Processing with R, Python

Modeling by limited training data, using SVM, Decision Tree, Naïve Bayes Improving model precision from 65% to 95%

Health Forever Guangzhou, China

CEO and Cofounder 2013-2015

Oversaw day to day operations

Leading the R&D teams for multiple projects, including hardware and software Chronic disease remote monitoring platform effectively improves doctor efficiency by 200% MDLand China Corporation Guangzhou, China

VP of Marketing 2011-2012

Guangzhou Telecommunications Construction Corporation Guangzhou, China Marketing Manager 2004-2007

Guangzhou Constel Technologies Co., Ltd. Guangzhou, China GM of IT Business Division 1999-2004

Complete team and rich business portfolio were established from scratch in 4 years, with more than 50 million annual revenue

Designed and implemented Guangzhou Ethernet Broadband Network, with more 100,000 end users

Set the configuration and maintenance standard for Guangzhou Ethernet Broadband Network Deliver the 99th China Import and Export Fair communication upgrade on time within 1 month, including 10 thousand data ports, thousands voice ports and dozens of miles fiber implementation.

Guangzhou Information System Engineering Co. Ltd. Guangzhou, China Network Engineer 1996-1999

Participated in constructing Guangzhou DDN, SDH, ATM, MAN, VOD In charged of the first ADSL, telemedicine and distance education experimental network Responsible for technical support of national conferences for many times to ensure the smooth progress of the conference

MAJOR PROJECT

Social Media Classification

An honor program project, using machine learning to classify social media messages to with private information or without private information. I was the only one coder under my professor. The prediction accuracy was improved from 65% to 90%. Relative technologies: R, Python, PostgreSQL, SVM, Random forests, Decision Tree, NaiveBayes, Pandas, Numpy, scikit-learn, nltk, textblob, ubuntu

Gold Price Linear Model

A paper, using US dollar index, federal interest rate, 10 years yield, and CPI, S&P500 return to create a linear regression model, whose 2

reaches 0.71, to predict gold price. Relative

technologies:

Linear regression, Stata

Grade A Prediction of New York Restaurants Inspection The project in the CUNY Data Challenge 2019 on Kaggle, was Ranked the 4th place. Multiple files from the New York City Health Department, including 129K inspections records and 384K violations records, were used to create the model, which is used to predict the chance of a new restaurant obtain grade A in the inspection. Relative technologies: Python, SVM, Random forests, Logistic regression, GrandientBoosting, Deep learning, Pandas, Numpy, scikit-learn, Keras

Manufacture Dashboard

Dashboard was created by using production data and order data. Production resources utilization rate and profitable capability were improved significantly. Relative technologies: Power BI

HONOR

Ranked the 4th place in the CUNY Data Challenge 2019 on Kaggle Kaggle

Information System Honor Program (Social Media Classification) CSI

Summa Cum Laude CSI of CUNY

On the Dean’s List (2018-2019) CSI

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