Sean Jeong
Sean Jeong
Learner
(1)
4
Location
Vancouver, British Columbia, Canada
Bio

Results driven Data Scientist with a strong background in machine learning, statistical analysis, and data visualization.
Track record of utilizing analytical techniques to obtain meaningful insights and drive data based decision making for
business optimization. My employment in biochemical research, shipping logistics, and building management provides an
unique approach to the data science field.

Portals
Categories
Data visualization Data analysis Data modelling Machine learning Databases

Skills

Artificial intelligence 1 Coding 1 Communication 1 Creativeness 1 Documentation 1 Leadership 1 Mathematics 1 Python (programming language) 1 Research 1 Teamwork 1

Socials

Latest feedback

Recent projects

Work experience

Research Assistant
Renu Bio Health Ltd.
Burnaby, British Columbia, Canada
May 1 - August 30

• Reviewed the latest breast cancer literature to determine research focus on flaxseed
• Analyzed plant estrogens from flax varieties to find the greatest antitumor effects
• Translated health supplement descriptions and sales manuals from Korean to English

Senior Sales Associate
The UPS Store 38
Surrey, British Columbia, Canada
May 1 - November 30

• Oversaw operations, inventory management, parcel logistics, and staff training
• Packed, shipped both documents and parcels to domestic and international locations
• Managed mailbox and parcel receiving services for over 250 small business owners

Building Manager, Operations & Maintenance
Abdul Ladha Science Student Center
Vancouver, British Columbia, Canada
May 1 - July 30

• Managed day-to-day building maintenance, rentals, housekeeping, and security
• Implemented an Audio-Visual plan to overhaul a 13 year old projection system
• Created effective COVID-19 protocolsto re-open earlier than most campus buildings

Education

Diploma, Data Science
Lighthouse Labs
September 18 - December 8
Bachelor of Science, Biochemistry
The University of British Columbia
September 6 - June 30

Personal projects

News Headline Classification
November 27 - December 7
https://github.com/seansjj/news_headline_classification

Stack: Pandas | Python | Random Forest | Tableau | XGBoost

• Classified news networks by sensational headlines using Natural Language Processing
• Engineered model features based on sentence characteristics and word quality
• Created the optimal Random Forest model through parameter tuning, feature importance

Electric Vehicle Trends in Washington State
October 30 - November 3
https://github.com/seansjj/ev_trends_wa

Stack: Python | Regression Models | Tableau

• Examined the current landscape of Electric Vehicles(EVs) and projected future trends
• Created a regression model to view correlations between population data and EV numbers
• Identified priority zipcodes areas with an urgent demand for vehicle charging stations