Data Analyst, Software Engineer

Li He

617-***-**** ***********@*****.*** www.linkedin.com/in/li-he-peter GitHub: https://github.com/li2he1

SUMMARY

Master's degree candidate who aims at finding software engineer opportunities, with strong programming, designing and database skills. Has a wide range of project experience, including Android and full stack web service, machine learning. Strong knowledge of computer science and solid programming skills in Java, Python, SQL, HTML/CSS, and JavaScript.

EDUCATION

Northeastern University - Boston, MA 3.924/4.0 GPA March 2020

Master of Professional Studies, Analytics

Coursework: Data Warehousing, Information Systems Design and Development, AWS Cloud Architecting, Machine Learning

Fuzhou University - Fuzhou, China June 2011

Bachelor of Engineering, Vehicle Engineering

SKILLS

Programming: Java, JavaScript, Python, R, SQL, Scala, C

Database/Big Data Engineering: MySQL, NoSQL database (MongoDB), MapReduce, Spark

Web Development: Java Servlet, Node.js, JQuery, HTML&CSS, React, AWS, Google Cloud, Firebase, Android

WORK EXPERIENCE

Allied Millennial Partners, LLC - New York, USA December 2018- June 2019

Financial Analyst

●Created interactive dashboards through Spotfire to provide optimized user experience with actionable insights and strategies

●Applied weak-form efficiency tests with Python to check whether past price can be used to predict the future performance

●Built post earnings drift model and implemented k-means clustering to find the stocks with high sensitivity to earnings surprise

●Designed and managed a portfolio which increased 30% value in 5 months using quantitative analysis and time series analysis

PROJECTS

Event Ticket Search & Recommendation Web App

●Developed an interactive web page for users to explore events and acquire tickets (HTML, CSS, JavaScript, AJAX)

●Built Java servlets with RESTful APIs to handle HTTP requests and responses flexibly

●Utilized MySQL to store real business data and migrated to NoSQL database (MongoDB) for better scalability

●Designed algorithms (e.g., content-based recommendation) to improve personalized business recommendation

●Deployed server side to Amazon EC2 to handle 150 QPS (tested by Apache JMeter)

Spring and Hibernate based Shopping and Ordering System

●Created a web application based on Spring MVC to support item search and listing (dependency injection, inversion of control, REST API, etc.)

●Designed security workflow through in-memory and JDBC authentication provided by Spring Security

●Applied Hibernate to provide better portability, productivity, and maintainability of database operations

●Built a Spring Web Flow to manage navigation and reduce the complexity for item ordering

React JS based NBA Player Strength Visualization

●Designed a dashboard using React, D3 and Ant Design backed by API from stats.nba.com to visualize individual player’s shot data, including a shot chart and profile view

●Built 4 extra filters and 2 shot themes (hexbin and scatter) on the shot chart to provide more customized visualization

●Created an autocomplete player search bar providing a list of players (image and name) in the suggestion list to optimize the search experience

Twitter Stream Real-time Processor

●Created a real-time processor with Spark to handle the most popular Twitter hashtags

●Developed positive/negative word monitor with Kafka and Spark to analyze user feelings (60 Tweets per second)

●Enhanced the processing of large scale stream data using Flink with better efficiency and suitability

●Visualized the results with Flask, Ajax, and JavaScript chart for 1% of all public tweets

Matrix: A Location-based Android App for Smart Driving

●Integrated a Google MapView within MapFragment to display the events nearby and avoid the traffic

●Utilized the Google Firebase Realtime Database to store and manage the user-generated content for better data synchronization

●Implemented the event-trigger Firebase Message System via Google Cloud Functions to support app notification

●Developed a user-friendly UI with standard widgets (RecyclerView, ViewPager, etc) and applied Espresso Instrumented Test

●Applied MD5 encryption and Google Firebase Authentication to improve the data security

●Created an in-app simple voice control with Google Speech Recognition to provide hand-free event reports

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