Seongjun Oh
SYDNEY,New South Wales
Summary
"Recent Bachelor of Science in Information Technology graduate with a solid foundation in Data Analytics. Eager to leverage academic knowledge in a real-world setting and committed to pursuing professional growth in the IT sector. Possess strong problem-solving abilities, keen attention to detail, and a dedication to delivering quality results. Seeking an entry-level role where I can contribute with dedication, learn from experienced professionals, and bring fresh perspectives."
Overview
3
3
years of professional experience
1
1
Certification
Work History
Mandatory Military Service
Republic Of Korea
08.2020 - 02.2022
Positioned in the Republic Of Korea Army 5th Artillery Brigade.
As a corporal, I was delegated squad leader of signal troops. My main tasks were to build a independent network and communicate with Fire Direction Centre during artillery fire training.
Cashier
Mosaic Grocery Market
05.2023 - 08.2023
- Greeted customers entering store and responded promptly to customer needs.
- Built relationships with customers to encourage repeat business.
- Operated cash register for cash, check, and credit card transactions with excellent accuracy levels.
- Conducted inventory counts by adding each item in stock and documenting in computer system.
- Set up new sales displays each week with fresh merchandise.
Education
Bachelor of Science - Information Technology
University of Tech Sydney
Sydney, NSW02.2024
Skills
- Computer System Maintenance
- Resolve Technical Problems
- Project Proposals
- Hardware and Software Monitoring
- Operation System Software
- Python, SQL(Postgre, MySql), Javascript, Cloud(Azure), C#/Net, C
Accomplishments
- Analytics Capstone Project: MAR 2023 - JUN 2023
Executed Matlab (PlatEMO) to optimise 21 real-world constrained multi-object optimisation problems by various evolutionary algorithms. Investigated and compared the performance of each algorithm to identify the best algorithm for adoption in real-world situations.
- Data Visualisations & Visual Analytics: SEP 2022 - NOV 2022
Executed Tableau and Excel to analyse the statistical and analytical patterns from Australian International Trade datasets collected from 30 years of ABS statistics data (1988-2021). Classified trade datasets to display different types of charts and graphs. This project reinforced my insight into analysing massive datasets.
- Machine Learning: SEP 2022 - NOV 2022
Executed Python programming to use the ID3 model of the Decision Tree algorithm to classify a given dataset. This project improved my ability to learn and implement advanced programming and preprocessing dataset.
Certification
- Certified Azure Fundamentals, Microsoft (AZ-900)
Timeline
Cashier
Mosaic Grocery Market
05.2023 - 08.2023
Mandatory Military Service
Republic Of Korea
08.2020 - 02.2022
Bachelor of Science - Information Technology
University of Tech Sydney
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