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Jun Chong

Jun Chong

Certified

Data Scientist

University Event

Technologies

My Portfolio Highlights

My New Course

Introduction to Python

My New Certification

Data Scientist Associate

My New Course

Introduction to Python

Data curator, carefully curating insights like precious artifacts.

My Work

Take a look at my latest work.

course

Introduction to Python

DataLab

Competition - XP Competition 2022

certification

Data Scientist Associate

course

Introduction to Python

My Certifications

These are the industry credentials that I’ve earned.

Data Scientist Associate

Data Scientist Associate

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Introduction to SQL
Introduction to R
Intermediate SQL

My Work Experience

Where I've interned and worked during my career.

National Oceanic and Atmospheric Association (NOAA) | Jan 2024 - May 2024

Data Scientist

• Led collaborative data analysis sessions and coordinated project timelines, optimizing team contributions through leveraging individual strengths, and extensive research, completed 80% of large scale project scope within a 5-month timeframe. • Employed Compressed Sensing and Ordinary Kriging to reconstruct 20% of the original 20-year 91-sites time series dataset by sampling 30% of the available 5% data to recover annual temperature patterns, achieved a MAE of 0.75 degrees Celcius for interpolation using 30% sampling over 3-year training periods. • Applied K-means clustering to group thermal metrics and spatial covariates into 10 clusters, determining the influence of physical traits on river temperature and optimizing sensor placement using spatial covariate analysis, ensuring 80% coverage for existing sites and expanding data collection by placing 20% of sensors in new locations. • Conducted Fourier transformation to identify significant frequency components on temperature data. • Developed interactive data visualization dashboards in R Shiny, integrating ArcGIS and Tableau prototypes for dynamic time-series analysis and spatial mapping.
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University Event, Seattle University | Sep 2023 - Present

Student Event Operations Specialist

• Developed a centralized database management system integrated with a dynamic event planning website, improving data organization, inventory management, logging, and real-time event tracking using Microsoft 365 tools. • Automated internal processes using scripting and analytics, reducing last-minute callbacks by 20% and improving operational efficiency by 15% through streamlined workflows and communication. • Designed an inventory tracking system utilizing geospatial mapping in Power BI to track event layouts and resource availability in real-time dynamically, integrated with staffing schedules and logistics, improving setup efficiency by 40% through demand forecasting. • Developed a chatbot within Microsoft Teams to automate service orders and track event data to enhance team communication, reduce manual tasks, and improve response times.

C2 Education | Sep 2019 - Aug 2022

Math Education Specialist

• Developed a gamified learning system using adaptive algorithms, resulting in a 25% improvement in student engagement. • Implemented diagnostic tools and personalized learning paths, achieving a 15% improvement in academic performance and facilitated admissions to prestigious institutions using Excel for real-time tracking. • Transitioned to remote learning platforms like Google Classroom and Zoom, increasing attendance by 20% and enhancing data collection with a 30% improvement in performance tracking. • Analyzed student behavior using keystroke logging and self-reports, and built a progress dashboard in Google Data Studio and Tableau, classifying the student groups by tracking their performance and academic issues.

Flexon Technology | Jul 2019 - Feb 2020

DevOps Engineer

• Developed ETL pipelines using Apache Airflow and Apache Spark to ingest and process real-time market data. • Deployed cloud infrastructure using Terraform on AWS/Azure, containerizing services with Docker and orchestrating with Kubernetes for scalable trade execution and testing environments. • Built a strategy testing framework in Python/Javascript for backtesting trading algorithms using historical data. • Implemented a trade performance dashboard with Power BI/Tableau/Grafana integrated with CI/CD pipelines using Jenkins/GitLab, displaying real-time trade metrics, portfolio performance, and risk analysis. • Managed Linux servers with Bash scripting for automated tasks, including system updates, monitoring, and log management.

My Education

Take a look at my formal education

Master of Science in Data ScienceSeattle University | 2024
Bachelor in Art in MathematicsUniversity of Washington | 2019

About Me

Jun Chong

A Data Science graduate aims to bridge learning and career skills through AI-driven, game-based tools that personalize immersive education by creative human-interactive design, equipping learners with practical skills ready for current job market.

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