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Software Developer Data Analyst

San Jose, CA, 95122
December 25, 2019

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*** ******* *****, *** ****, CA, ***** Tel: 217-***-****

EDUCATION University of Illinois at Urbana–Champaign December 2019 Bachelor of Science in Statistics and Computer Science Parkland College December 2016

Associate of Science in Computer Science

EXPERIENCE Rockship Ho Chi Minh, Vietnam

Software Engineer Intern May 2019 – August 2019

• Developed a web-based application working system to revamp existing systems using Python Flask

• Boosted work efficiency by 50% and learned to test systems with team of Software Developer in Test

• Optimized PostgreSQL database in back end for faster run time

• Designed workflow with project manager and junior software engineers to finish project 1 week prior to deadline OpenX Software Pasadena, California

Database Analyst January 2019 – May 2019

• Collaborated in a team of 4 exploring Big Data field on Google Cloud using Spark

• Identified database’s redundant fields with Python scripts with covariance matrix, null entropy and columns correlations and save 40% of database storage

• Created a more user-friendly environment by transfer LWES parquet format to new schema Tadidi Joint Venture Ho Chi Minh, Vietnam

Software Developer Intern June 2017 – August 2017

• Redesigned appropriate shortest path algorithm to save at least hundred dollars comparing to client’s original cost

• Sustained clients’ satisfaction by providing quick solutions to reroute trips, save as much money as clients want Parkland College Champaign, Illinois

STEM Tutor August 2016 – December 2016

• Motivated 30 students and improved Calculus / Probability and Statistics scores by 25% through in-class study material and problems solving explanation

• Organized brainstorm sessions with other tutors to help students understand coding algorithms/assignments PROJECTS Stock analyzation and prediction Champaign, Illinois Data Analyst (class project) September 2018 – December 2018

• Led a group of 5 members in a project to evaluate and predict Google stock price in R

• Cleaned datasets with thousand observations on Kaggle and created utility functions to optimize analyzation

• Applied fittest probability distribution and surpassed 50% correctness comparing to original price World Cup soccer prediction Champaign, Illinois

Data Analysis and Modeling (Independent project) May 2018 – July 2018

• Constructed Python analyzation with dataset of 32 World Cup teams

• Conducted supervised machine learning model, inspected result and remodeled to enhance predictive analysis

• Reached 80% accuracy in predicting teams advanced through group stage Airlines Shiny App Champaign, Illinois

Developing R Shiny app (class project) March 2018 – May 2018

• Manipulated dataset from Kaggle to examine airlines data in group of 4 settings

• Set goals, delegated task, and coordinated with team members throughout project to meet assignment deadlines

• Developed frontend user interface with setting up line graphs, bar graphs for users to compare between airlines SKILLS & CERTIFICATES Data Science certificate, University of Illinois at Urbana Champaign, Department of Statistics, 2019 Framework: CSS, HTML, JSON, Flask, React Native

Technical: Machine Learning, predictive analysis, Ubuntu, macOS Programming Languages: Python, C / C++, R, Java, JavaScript

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