Hello, I am Chloe! I have 17 years of experience in the tech industry. I am highly familiar with multiple programming languages, development tools and multiple operating system platforms. I enjoy working independently and in a team with technical and business groups. I am experienced in managing projects, leading tech development and mentoring junior programmers.
Currently, I specialize in data engineering, data science, data analytics and data visualization. I have great passion in making data useful and meaningful. I have expertise in data warehouse, data pipeline using Hadoop stack, big data analytics using Python and R, data visualization using d3 and Tableau, batch processing using Java, ETL processes and distributed data processing/computation using Spark Scala. Proven ability to manage complete project life cycles from inception through design and development to final implementation and user training for software engineering and data engineering projects.
Why should you hire me?
I take pride in being a woman in tech! I am also a wife to a loving husband and a mom to a 4.5 year old boy.
A passion that I discovered while taking Information Visualization course during my graduate study. I enjoy transforming tabular data into beautiful meaningful visualizations. I am available for data anaytics and visualization consulting or freelance projects. Email me at wheatonchloe[at]gmail[dot]com to kick off our collaboration.
Visualization of top USA university rankings by categories from Times Higher Education and Forbes.
Visualization of distribution of courses available in School of Information, University of Michigan across different specializations offered in the school.
This assignment was my first exposure to Javascript d3 library. The task was to design and develop a visualization related to university data. I merged data from Times Higher Education World University Ranking and Forbes' America's Top Colleges to compare American university rankings. The first visualization compares the rankings based on overall score of the universities from both sources. This visualization has been selected by the Information Visualization course professor at School of Information, University of Michigan as a reference for students for at least 3 semesters.
This visualization compares American university rankings from various aspects including tuition cost, student population, teaching, international outlook, research, citations, student satisfaction, post-graduation successs, student debt, graduation rate and nationally competitive awards. The sources are from Times Higher Education World University Ranking and Forbes' America's Top Colleges. The main reason two sources were used is to view the rankings from the univerity perspective and students perspective. This visualization has been selected by the Information Visualization course professor at School of Information, University of Michigan as a reference for students for at least 3 semesters.
A final project for the Information Visualization course. We decided to use course enrollment data of our school (UMSI) to build a visualization related to specializations offered in the school's graduate program. The visualization also involves some behind-the-scene steps in data processsing using Python. The visualization itself is built using HTML5 with Javascript d3 and JQuery Library.
A side project to visualize tabular data into graphical representations to analyze and to understand train's locomotive data. This visualization shows the start and end stations of the locomotive for the partcular train with indication of the lead locomotive. The objective of this visualization is to analyze the quality of the locomotive data in terms of whether every station has a reported locomotive for the train and has a lead locomotive.