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Data Engineer- Contract Resume Example

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DATA ENGINEER- CONTRACT
Summary
I am a data engineer/analyst with a passion for statistics/machine learning/deep learning and focused on providing insightful data-driven solutions. I have 5+ years experience in data analytics and data engineering in various fields of manufacturer, finance and infrastructure. My current research and development interests include data engineering, machine learning, deep learning, NLP, and experimentation.
Qualifications
  • Python, R, Matlab, C, C++ , Java, ASP, Javascript, Shell Scripting, HiveQL, SQL, PL/SQL, Hadoop, MapReduce, Hive, Spark, Data Science, Statistics, Machine Learning, Deep Learning, Natural Language Processing, Data Structures
Course Projects
Twitter Sentiment Classification incorporating user and event information
- Propose a comprehensive neural network model by incorporating user information and underlying event information into document-level Twitter sentiment classification using Deep learning neural networks like CNN, RNN, LSTM, GRU.
- Multiple experiments have been implemented to verify the performance of sentiment classification on a large-scale Twitter dataset using Keras tools on Theano.
Modeling the March Madness March
- Learn which learning models, data processing technique, ordering technique and parameters tuning yielded the best classification accuracy.
- Using machine learning algorithms like SVM, Naive Bayes, Random Forest, Neural Network, XGboost, etc.
IMDb Database Exploration 
- Created and explored networks from IMDb movie data
- Studied the properties of actor/actress graph and movies graph using PageRank, Community Finding- FastGreedy Newman algorithm, etc., and predicted movie ratings based on regression model and graph model.
Human Attributes Extraction in Profiles March
- Collect many raw profiles in websites by our configurable crawler.
- Use statistic methods to do pre-processing works include lexical analysis like Tokenization, POS tagging, parsing, and name entity recognition using method of linear chain Conditional Random Field (CRF), and Entities relation extraction.
- Build the semantic patterns, which can be used in model to predict the person attributes.    
Recommendation System using the Movie Lens dataset
- Predict the rating of all the movies using Collaborative Filtering, alternating least squares and 10 fold cross validation.Once the ratings are predicted they can be used to recommend top N movies to each user.Popularity Prediction on Twitter January 2016
- Predicted which topics will become popular on Twitter using Linear Regression and Super Bowl hashtags.
Experience
Data Engineer- ContractFeb 2017 to Current
Company Name - City, State
• Create dashboards that help to communicate hardware health metrics, trends and other key indicators to senior leadership.
• Leverage data and analysis principles to help drive large scale FB Data Center programs.
• Develop metrics, data pipelines, and reporting for operational performance, efficiency and growth of Facebook's data centers. 
• Leverage tools like Python, Tableau & SQL to drive efficient analytics.
Business AnalystDec 2010 to Sep 2014
Company Name - City, State
  • Operational support for Canon Americas Mercury system, includes data adjustment/research, batch data loading, system migration, Technical and functional specification documentation, reports, business process alignment, workflow stuck, and reconciliation, etc.   
  • Break/Fix any issues or bugs collected from client and development regarding setup, performance, functionality, and workflow stuck, etc. 
  • Reproduce and review existing oracle 9i schema objects,  Query real-time data regarding Canon Americas Mercury System.
  • Backend process operation using Unix bash/corn shell scripting for system resources checking, job scheduling, batch data loading, performance tuning and reporting. 
Database Engineer InternshipMay 2010 to Dec 2010
Company Name - City, State
  • Involved in development of back-end intra-net management system using C/C++ and Oracle database for onshore CNY delivery involving trade-related transactions.
  • Performed Unix Shell Scripting for compressing, partitioning and piping large amounts of data.
Education
Master of Science, Computer Science2016University of California - City, State, USA
Computer Science
GPA: 3.78
Courses:
-Statistics Programming -Databases and Knowledge Bases -Graphs and Network Flows -Language and Thought(Natural Language Processing) -Current Topics in Computer Theory(Computer Architecture) -Computer Science Classics(Machine Learning Algorithms) -Basic Data Science -Data Mining and Big Data Analytics -System Security
Master of Science, Electrical Engineering2010University of Bridgeport - City, State, USA
Electrical Engineering
GPA: 3.62
Courses: Computer Networks -Database Management Systems -Data and Computer Communications - Digital Signal Processing - Embedded Systems -VLSI
Bachelor of Science, Telecommunications Engineering2007Jilin University - City, State, China
Telecommunications Engineering
GPA: 3.50
Courses:
-Data Structures -Digital Signal Processing -Communications Theory -C Programming -Digital Circuits -Analog Circuits 
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Resumes, and other information uploaded or provided by the user, are considered User Content governed by our Terms & Conditions. As such, it is not owned by us, and it is the user who retains ownership over such content.

Resume Overview

School Attended

  • University of California
  • University of Bridgeport
  • Jilin University

Job Titles Held:

  • Data Engineer- Contract
  • Business Analyst
  • Database Engineer Internship

Degrees

  • Master of Science , Computer Science 2016
    Master of Science , Electrical Engineering 2010
    Bachelor of Science , Telecommunications Engineering 2007

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