Amy(Eunkyung) PARK

• Streamlined data collection methods to minimize analysis errors with market data.
• Automated repetitive tasks using scripting languages such as Python or R, saving time during the analytical process significantly.
• Evaluated emerging technologies to assess potential applications within the organization''s existing infrastructure or future projects.
• Conducted feature engineering using Cloud base AI API to enhance model performance by creating new relevant variables from raw input data sources.
• Implemented recommendation systems using Python for marketing strategy of new products.

• Data Analytics

COMM1190 Data Insights and Decisions (R),

COMM5007 Coding for Business (Python, Pandas, Scikit-Lean, Scipy, Numpy, Regression, Classification),

INFS5720 Business Analytics Methods (SAS)

• AI applications

MARK5826 Product Analytics Chatbot (IBM Cloud, IBM Watson Assistant, DB2, A/B test, /Recommendation/Machine Learning, supervision of term project of Chatbot implementation with companies

MARK5828 Advertising Analytics - Google Vision API, Azure AI Video Indexer, OpenCV API, Data scraping and cleaning (PhantomBuster)

• Database

INFS2608 DB Management and Big Data Infrastructures, INFS5710 IT Infrastructure for Analytic - Relational Database, Data Warehouse (Oracle, SAS), design and implementation

• Joined UNOVA project
• Conducted Deep Learning models using IOT (sensor) data with H2O packages.
• Conducted feature engineering efforts to enhance model performance by creating new relevant variables from IOT (1Million, Sydney transport system real data) data sources.
• Conducted thorough exploratory data analyses for robust model building on High Performance Computing (GPU, Shell scripting).
• Assessed accuracy and effectiveness of new and existing data sources and data analysis techniques.
• Applied statistical and algebraic techniques to interpret key points from gathered data.
• Compiled, cleaned and manipulated data for proper handling using R, Python.
• Enhanced data visualization effectiveness by designing and implementing Tableau, PowerBI.

• UNSW PVCESE Education research project
• Conducted feature engineering efforts to enhance model performance by creating new relevant variables from raw input data sources with R
• Conducted Exploratory factor analysis, Dimensionality reduction, and data cleaning, survey data.
• Collaborated with multidisciplinary teams to develop innovative research methodologies and strategies.

• Implemented Keyword search platform (web page) with JavaScript
• Improved application performance with optimization of database queries, ensuring smooth and efficient data retrieval using Clustering method
• Developed robust, scalable, modular and API-centric infrastructures with Athens people data
• Collaborated with management, internal and development partners regarding software application design status and project progress with Department of Classics, University of Toronto

• SAP ERP system upgrade project Maintained LG Life Sciences (Windows clustering, MS SQL, SAP R/3), Eugene Investment & Securities, Monami (Oracle, SAP R/3) SAP ERP systems
• Conducted a system copy and data migration and implemented support packages and SAP notes
• Analyzed ABAP dumps and monitored system logs
• Enhanced system performance by optimizing SAP parameters and fine-tuning system settings.
• Implemented successful SAP upgrades with seamless integration into existing systems, minimizing disruption to business operations.
• Resolved complex technical issues through root cause analysis, implementing long-term solutions that prevented recurring problems.
• Optimized system resources by analyzing usage patterns and reallocating resources as needed, enhancing overall performance.
• Implemented data archiving strategies to improve overall system performance, ensuring timely access to critical information while reducing storage costs.

• LG Electronics data centre relocation project Managed LG Electricity system (AIX, Solaris, HP-UX, Windows, Oracle, MS SQL)
• Simplified troubleshooting processes by creating detailed documentation for system configurations, procedures, and best practices.
• Provisioned new software and hardware for use, following established security policies.
• Managed user access rights to maintain a high level of information security while ensuring appropriate levels of accessibility for authorized personnel.
• Maintained a high level of customer satisfaction by providing rapid, accurate response to inquiries and concerns regarding system performance or functionality.
• Supported the implementation of new technologies by providing technical expertise and training to colleagues as needed.
• Installed important security and functionality patches to maintain optimal protections against intrusion and system reliability.
• Worked with users to determine areas of technology in need of improved usability.
• Reduced downtime by proactively identifying and resolving potential issues through thorough system monitoring.