Minh N. Pham is currently pursuing a BS in Computer Science and Mathematical Sciences at Worcester Polytechnic Institute. He has experience in data science, machine learning, and software engineering. Some of his projects include building predictive models for income, stock price movements, and activity classification from Fitbit data. He has also worked as a data science intern and research assistant where he applied skills in Python, Java, SQL, and analytics tools like Pandas, NumPy, and Scikit-learn.

1. Minh N. Pham
mnphamx1@gmail.com | Github: mnpham0417 | LinkedIn: mnphamx1| +1 (774) 502 1146
EDUCATION
Worcester Polytechnic Institute Worcester, MA
Currently pursuing BS in Computer Science and Mathematical Sciences
Related Coursework: Software Engineering, Accelerated to Program Design, Object-Oriented Design Concepts,
System Programming Concepts, Algorithms, Database Systems I, Applied Statistics I & II
SKILLS
Programming: Python; Java; SQL; C++; C
Analytics: IPython; SQL; R
Data Science: NumPy; Pandas; Matplotlib; Scikit-learn; Keras
Technologies: Git; BeautifulSoup; Regex; AWS; Microsoft Azure
Certificates: Machine Learning with Python; Importing & Cleaning Data with Python (from DataCamp)
WORK EXPERIENCE
Data Science Intern, Viettel Cyberspace Center Summer 2018
https://github.com/mnpham0417/Income-Regression
 Performed exploratory data analysis and visualization in Python on telecommunication data.
 Built a machine learning model to predict income of customers.
 Reduced the MSE of previous model by 10%.
 Implemented Regex to create a parser to extract the price of electricity from 1500 phone messages.
Technology Stack: Python, Java, R, Regex, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn
Research Assistant, Mathematical Sciences Department
 Used Python to assist a PhD student to perform statistical analyses for research on financial time series.
PROJECTS
Online Scheduler, CS 3733 Software Engineering, WPI Nov 2018 – Dec 2018
https://github.com/mnpham0417/CS-3733-Group-Project
 Created a web application deployed on AWD that lets users create, manage and sign up for meetings.
 Implemented Vue.js and Bootstrap to design UI for system administrator page.
 Developed the backend: database, database access objects, API handlers, client-server communication
Technology Stack: Java, HTML, MySQL, AWS, Vue.js, Bootstrap
Stocks Movement Predictor, Project Sept 2018 – Oct 2018
https://github.com/mnpham0417/Sentiment-Stocks
 Crawled opening/closing price of multiple stocks, News articles and Tweets of 400 companies.
 Used Loughran/McDonald Dictionary to perform financial sentiment analysis on News/Tweets.
 Built a machine learning model to classify the price movement of stocks.
Technology Stack: Python, Microsoft Azure, iexfinance, NewsApi, BeautifulSoup, Twitterscraper
Fitbit Classification, Project Oct 2018 – Nov 2018
https://github.com/mnpham0417/Fitbit-Classification
 Collected, manipulated and analyzed heart rate and activity data.
 Built a machine learning model to identify abnormal activity.
Technology Stack: Python, Pandas, NumPy, Scikit-learn, Matplotlib