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I am Ming !

About me

Hi, my name is Ming Chen. I am currently studying Data Analytics at Fordham University in the Master of Science program. I will graduate at this December. I have a lot experience as Data Analyst and Data Engineer . I am always excited to face new challenges and explore newest technologies.

Data Experience

Research Assistant at Fordham
  • Developed a pipeline to auto preprocess applicants’ data and generate different figures by Pandas and matplot
  • Apply S3VM, SVM+, S3VM+ by CVXPY with different solvers to predict the students’ academic performance
Teaching Assistant
  • Held office hours every week and answered student questions from class or homework and help professor grade homework and quiz.
To-do-list Web Application
  • Front-end by HTML and CSS, back-end by Node.js&Express.js with RESTful API
  • Managed all data with MongoDB Atlas. Deployed app in Heroku
  • Check Me!
Using Data to Bring Customers Home
  • Preprocessed over 20000 instances with missing value, categorical variable and imbalanced result by Python
  • Split data to test/train and applied cross validation with different models such as Random Forest, SVM by scikit-learn
Deloitte March Madness Data Crunch
  • Integrated Player’s Value from Internet to the original dataset by Python
  • Built machine learning models to predict the result of the tournament such as Logistic Regression and SVM
  • Utilized Tableau to visualize data, delivered conclusion to stakeholders at all levels
  • Ranked top 20% in the Kaggle with final result log loss 0.47

Skills and Languages

Programming Languages: Python, R, SQL, MongoDB, Matlab, Scala, HTML, CSS, JavaScript
Data Analytic Tools: PySpark, Pandas, Numpy, Scikit-learn, Pytorch, Keras, Tensor Flow, Tableau, Weka, SPSS
Computer Tools: Spark, Google Cloud, AWS, Git, Heroku, Docker, Postman
Hobbies Guitar,Hiking

mchen177@fordham.edu