Chris Guan

Raleigh NC · (919) 633-6491 · guanch1984@gmail.com

Aspiring data scientist, seasoned product manager, engineer and entrepreneur

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Projects

AI-driven early detection of diseases in poultry chickens

Sponsor: AudioT

Goal

  • Detect abnormal chicken sound in early stage using machine learning
  • Build anomaly detection data pipeline
  • Feed useful classification and state determination information to dashboard team

Database

  • Flocks of chicken sound recordings

Tools and Techniques

Contribution

  • Team of 3
  • Filtered and labeled chicken audio
  • Built data pipeline that fetches data from S3 bucket, feed into autoencoder, then apply GMM to latent space data for anomaly detection purpose
  • Explored HMM(Hidden Markov Model) in this application

Dashboards and Visualizations

Autoencoder

Autoencoder Input and Output Signal

Latent Space

Autoencoder Latent Space

Autoencoder for anomaly dectection

Autoencoder for Anomaly Detection with MSE

ROC Curve

ROC Curve with Change of Threshold

Meal Recommendations and Planning Application

Goal

  • Auto generate family weekly meal plan and shopping list based on personal preference and goals
  • Get familiarize with large data in spark, and AWS architecture, Lambda, Glue, RDS, S3, Sagemaker
  • Build dashboard and visualizations with streamlit

Database

Tools and Techniques

Contribution

  • Led a team of 5
  • Aggregated and cleaned related database
  • Developed customized meal recommendation algorithm, and collect user feedback
  • Demonstrated dashboard and application functionality to stakeholders

Dashboards and Visualizations

Meal plan table

Weekly Meal Plan Table

Collect user feedback

Collect User's feedback

Nutrients Tracking

Nutrients Tracking Plots

Recipe details

Recipe Details

Shopping list

Generated Shopping List

TradePlaza - Used-Game Exchange App

Goal

  • Provide an easy-to-use platform for used-game exchange
  • Practice SQL
  • Build GUI with Python

Database

Tools and Techniques

Contribution

  • Led a team of 5.
  • Analyzed, specified, designed, and implemented a relational Database Management System (DBMS).
  • Owned frontend GUI and backend SQL of log-in dashboard and trade search/propose/detail view.
  • Demonstrated final product to stakeholders.

Dashboards and Visualizations

Main Dashboard

User Login Dashboard

My Item List

User Item List View

Search for Items to Trade

Search Results View for items are available to trade

Trade History

User Trade History View

Trade Detail View

Proposed Trade Detail View

Air mobility business analysis for eVTOL aircraft transportation

Goal

  • Determine a potential city in US to test eVTOL transportation
  • Develop roll-out business strategy for eVTOL transportation

Database

  • Existing vertiport location
  • US Commute Data
  • Los Angeles Commute Data
  • Los Angeles Geospatial Data

Tools and Techniques

Contribution

  • Led a team of 2.
  • Implemented machine learning algorithms to find optimal locations for new vertiports.
  • Researched latest and greatest technology of current eVTOL aircrafts as constraints for aircraft optimization problem to determine how many aircraft are needed for each vertiport.
  • Reported roll-out business strategy and presented revenue/profit projections.

Dashboards and Visualizations

Kmeans

Find optimal cluster number K

Clustering

Clustering after ISOMAP

Kmeans

Existing vertiports

Clustering

Cluster centers for new vertiports

European wind energy business analysis

Goal

  • Find which European countries are impacted the most on energy supply, from Russia-Ukraine conflict
  • Determine the primary renewable energy source in those countries from historic deployment data
  • Build models to predict renewable energy adoption rate

Database

Tools and Techniques

Contribution

  • Led a team of 5.
  • Analyzed historical European renewable energy adoption trends and identified the focus on wind electricity generation.
  • Built and compared prediction models among linear regression, Gompertz regression and logistic regression.
  • In charge of all coding and visualizations.

Dashboards and Visualizations

Primary eneragy source in Germany

Primary energy source in Germany

Share of electricity production by source in Germany

Electricity production % by source in Germany

Installed wind capacity for countries of interest

Installed wind capacity for countries of interest

Projection using Logistic Regression

Projection using Logistic Regression

Experience

Founder and Product Manager

TimoLabs
  • Impact: Revenue peaked at 1MM in 2 years
  • Products:
  • Responsibility:
    • Served in a leadership role at TimoLabs as the founder.
    • Set company goals, product roadmaps and monitor progress toward achieving them.
    • Planned events to boost community engagement and connected with local and national media for coverage.
    • Created sales and marketing plan and analyzed marketing efficacy through Amazon Seller Central, Google Analytics and Facebook Insights platforms.
    • Built company website on Bootstrap responsive front-end framework, and AWS EC2 and S3 instances.
May 2015 - December 2021

Product Development Manager

Mohu , acquired by Antenna Direct
  • Impact: Key contributor to revenue growth from 12MM to 25MM in 2 years
  • Products:
  • Responsibility:
    • Reported directly to the CEO, collaborated with stakeholders across the company, including sales, finance, and marketing, to uncover underlying consumer needs and develop product features to support company-wide “cut the cord” campaign.
    • Developed product roadmaps, communicated and executed product development lifecycles by engineering iterations, features updates and marketing messaging on new releases.
    • Managed data reporting and dashboards that help the company track retail channels sales, referral programs progress, and lead gen campaign performance, for revenue and production projections, and to schedule marketing activities and PRs to build Wall of Sound.
    • Built robust and scalable supply chain to handle monthly production of 10,000+ units.
November 2012 - May 2015

Senior Video Engineer

SmallHD , acquired by Videndum
  • Impact: Employee #2. Helped drive revenue growth from 0.5MM to 12MM in 2 years
  • Products:
    • DP1 : first in industry to introduce HD field monitor
    • DP4 : first in industry to introduce HD field monitor with viewfinder
    • DP6 : flagship product that contributed 60%+ revenue
  • Responsibility:
    • Oversaw entire product lifecycle of market-leading, high-end displays for videographers and filmmakers.
    • Created and executed engineering transition plan on display electronics platfrom, from Taiwanese Mstar turnkey solution to more versatile and customizable FPGA solution.
    • Programmed statistical on-display tools, like peaking, histogram, waveform, vectorscope and RGB parade etc., to assist professional videographers on focusing, color balancing and framing, when shooting on-site.
    • Worked with 30+ oversea partners simutaneously on rapidly growing production schedule and assembly logistics.
    • Participated in Doritos Super Bowl commercial shooting, A day at the zoo , and prepared costumes, one of which became world famous, dope zebra.
  • Fun Story
March 2010 - November 2012

Researcher

North Carolina State University
Nanomechanics and Nanoengineering Laboratory
  • Research Topic: Mechanical and multiphysical behaviors of nanomaterials.
  • Platform: Feedback controlled MEMS-based in-situ SEM and TEM testing platform.
  • Responsibility:
    • Designed and developed thermal controlled (by controlling current) V-shaped and eletrostatic controlled (by differential capcitive sensing) combdrive MEMS using PolyMUMPs and SOIMUMPs processes from MEMSCAP.
    • Designed and layout external electronics for testing in SEM and TEM on nanomaterials.
    • Simulated MEMS dynamic behavior using finite element analysis (FEA) and developed a series of image analyses technique that measures in-situ MEMS displacement.
    • Publishes cutting edge research findings to advance the development of closed-loop MEMS capacitive force sensors.
August 2007 - October 2009

Education

Georgia Institute of Technology

Master of Science
Analytics - Computational Data Analytics Track

GPA: 3.8

January 2022 - December 2022

North Carolina State Univerity

Master of Science
Mechanical and Aerospace Engineering

GPA: 4.0

July 2007 - October 2009

Harbin Institute of Technology

Bachelor of Science
Control Science and Engineering
Space Control and Inertial Technology Research Center

GPA: 3.8

July 2002 - June 2006

Skills

Programming Languages

Tools

  • VSCode for data manipulation and analysis
  • RStudio provides open source and enterprise-ready professional software for data science.
  • MATLAB is a programming and numeric computing platformto analyze data, develop algorithms, and create models.
  • Git Desktop simplifies Git development workflow
  • SQLite is a light weight embedded database engine
  • MongoDB is a NoSQL database program
  • OpenRefine is for working with messy data
  • Argo Lite is for node and edge graph visualizations
  • Docker delivers software in packages called containers
  • Databricks develops a web-based platform for working with Spark, that provides automated cluster management and IPython-style notebooks
  • Snowflake offers a cloud-based data storage and analytics service
  • AWS offers reliable, scalable, and inexpensive cloud computing services
    • S3 Simple Storage Service
    • EC2 secure, resizable compute in the cloud
    • EMR for running large-scale distributed data processing jobs, interactive SQL queries, and machine learning applications
    • Eventbridge a serverless event bus that ingests data from your own apps, SaaS apps, and AWS services and routes that data to targets
    • Lambda a serverless, event-driven compute service
    • RDS a fully managed, open-source cloud database service
    • Redshift uses SQL to analyze structured and semi-structured data
    • SageMaker build, train, and deploy machine learning (ML) models
  • Google Cloud Platform (GCP) offers reliable, scalable, and inexpensive cloud computing services
  • Azure offers reliable, scalable, and inexpensive cloud computing services

Libraries

Python

  • Pandas for data manipulation and analysis
  • Numpy for large, multi-dimensional arrays and matrices
  • Scipy for optimization, integration, interpolation, eigenvalue, algebraic equations, differential equations and statistics
  • Scikit-learn for Classification, Regression, Clustering, Demensionality Reduction, Model Selection, Preprocessing
  • Matplotlib for creating static, animated, and interactive visualizations
  • Seaborn for data visualizations
  • PySpark for interfacing with Apache Spark
  • wxPython for cross-platform GUI development
  • PyTorch for machine learning framework
  • Flask a micro web framework
  • TensorFlow for machine learning and artificial intelligence
  • Keras for artificial neural networks

R

Domain Knowledge

  • Data Science and Analytics
  • Machine Learning / Artificial Intelligence
  • Consumer Electronics
  • Entrepreneurship
  • Product Development
  • R&D
  • Manufacturing
  • Supply Chain Management
  • Project Management

Interests

Triathlon
Tennis
Soccer
Ski
Speed Skating