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Chi-Yun Chen

Data Analyst/Scientist Machine Learning Food Science

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Chi-Yun Chen is a graduate student on a Master of Data Analytics at George Washington University (GWU) and is expected to graduate in December 2022. This program allows her to dig into Statistic Data Analysis, Machine Learning, Artificial Intelligence, Big Data Management and Analysis, Database Management, etc. The subject Chi-Yun is interested in currently is using data science to solve problems in real-life. The agriculture and Food Industry utilizes technology to modernize the industry and create a safer and healthier environment is a topic that has her long-term attention. Besides e-agriculture, Chi-Yun also shows interest in Data Mining, Data Visualization, and Insights Analysis Reports.
She holds a bachelor of science in Food Science and Biotechnology. Her previous laboratory experience is related to the inhibitory effect of Chinese medicine on Enterovirus and nanoparticles in cancer therapy. During the time working in start-up social enterprise Innovation Open House (IOH), she had a great experience in media product management. IOH's initiative aims to guide students to become more informed of their options and find their true passion under credentialism and educational inflation society.

Besides that, Chi-Yun is also extraordinarily indulged in various martial arts practices, such as traditional Chinese style, Brazilian Jiu-Jitsu, Shuai Jiao, and Taekwondo.

Personal Information

Skill Bars

  • Python
  • R
  • Statistical Analysis
  • Data Visualization
  • Machin Learning
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Education

M.S. Data Analystics | The George Washington University | School of Engineering & Applied Science

Washington DC, US | Expected Dec 2022

Courses: Machine Learning, Statistics for Data Science, Big Data Analysis, Engineering Economics, etc. Honor: Best ML/AI approach prize in 2021 GW Hackathon founded by CirrusLabs

B.S. Food Science and Biotechnology | National Chung Hsing University

Taichung, Taiwan | 2011-2016

Courses: Statistic Methods and Data Analysis, Game Theory, Chemistry etc.
Specialization: Food Microbiology and Biotechnology

International Program | Karlsruhe University of Applied Sciences

Karlsruhe, Germany | 2015

Courses: Project and Strategic Management, Innovation Management for Technical Products, etc.

Work Experience

AI Research Fellow | AI For Good Foundation

Remote, US | June 2022 – present

AI for Good is a Non-Profit Organization drives forward technological solutions that measure and advance the UN’s Sustainable Development Goals(SDG).

- Improve word embedding NLP model of Climate Trend Scanner Project by noise reduction classifier.
- Establish an object detection model of wildlife and an individual identification model for field cameras to study animal behavior.

AI/ML Intern | Beagle Technology Inc.

California, US | Feb 2022 – present

Beagle is a startup transform labor intensive farming with AI-powered mechanization.

- Design a relational database and draw the schema, which organizes the information of thousands of images for company’s dataset.
- Construct YOLOv4 object detection model of plant and fruit real-time recognition for agriculture machines.

Data Project Assistant | IT Admiration, The George Washington University (GWU)

Remote, US | Feb 2022 – present

IT admiration is the chief provider of technology infrastructure, services, and applications at GWU.

- Analyze and evaluate the IT data with Excel Pivot Table, meanwhile generating a performance dashboard with insight.
- Collect, maintain, and wrangle computer status data verification and validation with Python among 6,000 staff and 40 departments.

Contractor | iChemLabs, LLC

Remote, US | Jul 2020 – Sep 2021

iChemLabs is a scientific software company that creates affordable and easy to use chemistry software.

- Evaluated thousands of chemical compound data and wrote testing cases in the Java environment.

Pharmaceutical Research Assistant | National Yang Ming University (NYMU)

Taipei, Taiwan | Jul 2018 – Aug 2019

NYMU is one of the top research institution in medical and biotechnology in Taiwan.

- Conducted analyses on diverse research datasets on the topic of nanoparticle in cancer therapy.
- Analyzed the scientific literature to extract needed data.
- Developed research methods to leverage scientific data in custom-made quantitative frameworks.
- Research Poster Research Poster

Product Manager and Data Analyst | Innovation Open House (IOH)

Taipei, Taiwan | Mar 2016 – Jul 2017

IOH is the biggest education-intro platform in Taiwan, which cover 80%+ of high school students and the service across HK, Malaysia, and other countries in Southeast Asia.

- Developed database from scratch and systematized data storage by building NAS for the startup company.
- Implemented A/B testing for video product improvement resulting in a 200% improvement in average view duration.
- Analyzed product data with SQL, then created an automatic performance evaluation system resulting in a 20% turnaround time reduction.
- Designed and maintained KPI dashboards among 20 interns and led new employee orientation.
- Collaborated and led a cross‑functional team 3 times for a live-stream event owns tens of thousands of audiences.
- As the project manager, planned and engaged corporation and university workshops.
- Processed pre-production and post-production of the video products.

Marketing Data Analyst | Innovation Open House (IOH)

Taipei, Taiwan | Jan 2016 – Jul 2017

- Inspected website performance data with Google Analytics and executed SEO, resulting in an increase of 74% of sessions.
- Investigated customers' needs, initiated marketing projects and achieved an 80% recognition rate in the college freshman survey.
- Utilized statistical methods and Excel pivot table to execute marketing campaign and increased engagements of the FB Fan Page by 30%.
- Organized the FB Fans Page and website and achieved a 56% increase in the fan base.
- Improved integration of online and offline by giving a speech in high school and using a questionnaire to conduct the case investigation.

Projects

American Sign Language Translation Approach by Machine Learning

Washington DC, US | May 2022

Capstone Project of GWU master program
Medium Post:
Github Repository:

- Regulated motion capture and computer vision recognition module with OpenCV and Mediapipe libraries.
- Built Deep an Encoder-Decoder Seq2Seq Model and Convolution 3D Classification deep learning with PyTorch.

Analytic SQL Database Management and Recommendation Function of Yelp Dataset

Washington DC, US | May 2022

Final Project of EMSE 6586 DBMS
Github Repository:

- Restructured dataset schema into AWS RDS and Python SQL libraries, then constructed recommendation function by ML/DL models.

Machine Learning Approaches in Drug Discovery

Washington DC, US | May 2022

Final Project of CSCI 6364 Machine Learning
Github Repository:

- Extracted target protein data from the ChEMBL dataset and pre-processed and transformed the data.
- • Built a drug discovery model by statistical and Machine Learning models, then created a web application to deploy the final model.

Omao Biodegradable Disposable Cutlery Marketing Analysis

Washington DC, US | Dec 2021

Final Project of EMSE 6035 Marketing Analysis
Final Report:

- Implemented conjoint questions survey, transformed data, and analyzed results through utility model with R studio.
- Applied multinomial logit model to simulate market preference and predict market share of biodegradable products for a startup.

Identify the Underlying System of the Technical Problem Approach in Crowds

Washington DC, US | Dec 2021

Is mental representation a better measurement of ability?
Final Paper:

- Compare one's mental representation and knowledge representation from NASA Astrobee Competition Survey and Result.
- Multidimensional analysis, includes MDS, PCA and Factor Analysis.
- Unfinished project....

GateReady - Simplified Travel Time Estimation from Door to Gate

Washington DC, US | Nov 2021

GWU Hackathon founded by CirrusLabs
Event Page:
Result Page:

- Best ML/AI approach prize
- Formulated a walking equation that uses unique information on each traveler provides at check-in and uses 7 variables to develop a personalized walking prediction time for each leg of the journey through the airport.
- Designed a framework of the plugin in Flight app.

Analysis of COVID-19 Topic on Facebook/Twitter in LDA Evaluation Metrics by PCA

Washington DC, US | Apr 2021

Natural Language Processing & Topic Moedling
Project Link: Ths project link is will lead you to the project leader's page.

- Analyzed social media posts by Natural Language Processing model.
- Adopted MALLET toolkit to conduct topic modeling and and Latent Dirichlet Allocation (LDA) analysis.
- Conducted a principal component analysis (PCA) to determine which underlying features are most important.

Application of Big Data Technology in Food Traceability

Washington DC, US | Apr 2021

Big Data & Blockchain & Food Traceability

- An introduction paper of how IBM Food Trust uses big data in food supply chain.

AI Square | Augmented Interfaces with Artificial Intelligence

Washington DC, US | Dec 2020

GW New Venture Competition 2021
Project Links:

- The idea passed the first run of GW New Venture Competition 2021.
- AI Square implement machine learning to analyze computer's screen to deliver insights quickly.
- Detailed of the technology is confidential and provided by Dr.Benjamin Harvey.

Data Analysis on US Foodborne Outbreak Incident in 1998–2018 by Python

Washington DC, US | Dec 2020

Exploratory Data Analysis & Machine Learning Application
Project Links:

- Conducted exploratory data analysis from the dataset provided by CDC.
- Used machine learning model to predict illnesses and hospitalizations.

Bike Sharing System in Washington D.C.

Washington DC, US | Dec 2020

Exploratory Data Analysis & Machine Learning Application Project Link: Fianl Paper Code

- The data exploratory analysis of DC bike share system that provide by Captial Bike

Social Network Interference in Java

Washington DC, US | Aug 2020

Project Links:

- An API for users to log-in and send message to other users.

Portfolio

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Contact

Please don't hesitate to contact me.

LOCATION

Washington, D.C.,
USA

Send me an email

chiyun.chen001@gmail.com

Call Me At

Phone:+1 202 868 0865