Kuangzheng (Joe) Zhou Last Updated on **th September 20

** * **** **, *** York, NY 10010

ac2fs5@r.postjobfree.com 217-***-****

EDUCATION

PENN STATE UNIVERSITY

MASTER OF ENGINEERING

COMPUTER SCIENCE

Graduated Aug 2017

PENN STATE UNIVERSITY

PHD CANDIDATE

MECHANICAL ENGINEERING

Aug 2015 - May 2016

UNIVERSITY OF ILLINOIS

URBANA CHAMPAIGN

MS IN AGRICULTURAL VEHICLE

ENGINEERING

Graduated Aug 2014

CHINA AGRICULTURAL

UNIVERSITY

BS IN MECHANICAL ENGINEERING

Graduated Dec 2012

LINKS

Github: github.com/zkz917

LinkedIn:linkedin.com/kuangzheng

Personal Site: zkz917.github.io

SKILLS

PROGRAMMING

Java • Python • JavaScript • Scala

BIG DATA

Hadoop • Spark • HDFS • Hive

• MySQL • Cassandra• Kafka

• AWS (EC2, Lambda, API Gateway,

Redshift)

COURSEWORK

Data Structure and Algorithm

Operating System

Cloud Computing

Database Management

Mobile Network

Pattern Recognition

Data Mining

Wireless network

Numerical Analysis

Computer Architecture

Advanced Computer Programming

Microprocessor and Embedded System

WORK EXPERIENCE

INSIGHT DATA ENGINEERING FELLOW, MAY 2017 – PRESENT, NY Tech Stack: Python, Java, Kafka, Spark, Hadoop, AWS, Cassandra Data-Pipeline for real-time customer behavior analysis and recommendation system. http://saleinsight.site

• Designed and implemented the data pipeline to analyze customer purchase messages in real time based on Kafka, Spark Streaming and Cassandra.

• Integrated a product recommender system based on Item Collaborative Filtering algorithm using Hadoop MapReduce in Java to process 10 million records. Implemented 5 MapReduce jobs to generate a recommendation list of movies by calculating user rating matrix and movie co-occurrence matrix.

• Built a front-end web application by Python Flask, Jquery and Highchart to display the dynamic dashboard.

PENN STATE UNIVERSITY RESEARCH ASSISTANT, MAY 2016 - MAY 2017

Tech Stack: Python, Flask, Javascript

Concussion Detection System ( For Coaches and players to review games and detect possible concussion)

• Combined live video, live sensor data and realtime concussion simulations into one system and developed Web and Desktop Applications for the system.

• Developed web service (REST API) with token authentication system using Python. Web service is currently used by two technical companies (i1 Sport Intelligent and CoachSafe).

• Applied machine learning algorithm ( SVM, Random Forest, Logistic Regression

) to investigate data and detect possible concussions. PROJECTS

HADOOP ANDMAPREDUCEPROJECTS

Tech Stack: Java, Hadoop, Docker, HDFS, MapReduce

• Implemented Google’s search engine ranking algorithm (PageRank).

• Utilized Data fromWikitoconstructN-Gram Library by MapReduce and HDFS and implemented the Auto-Completion.

• Developed front-end service using JQuery,PHP and Ajax to retrieve data from database, achieving autocompletion, pagerank and movie recommendation in real time.

DISTRIBUTED KV PAIR STORAGE SYSTEM

Tech Stack: Python, Java

• Implemented the full stack including client, server and the storage system. Both clients and servers were designed to be switchable between multi-thread mode and non-blocking asynchronous mode.

• Employed quorum-based replication for fault tolerance and performance. STOCK PRICE PREDICTIONMODELWITHDEEPLEARNING

Tech Stack: Python, Scikit-learn, Keros

• Implemented stock price prediction model by constructing a RNN with LSTM cells to remember long- term dependencies and solved the vanishing gradient problem.

• Added Twitter sentiment analysis results to input features and improve the prediction rate by 12.6%.

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