Yoon Tae Park

Worked in e-commerce team, leveraging rest of market data source to improve Walmart e-commerce platform

• Created a benchmark dataset using rest of market and Walmart item information that enriched the team’s research

• Proposed and implemented a boosting model using a benchmark dataset, resulting in a 35% improvement in the current category mapping performance

• Deployed a machine learning pipeline to predict categories for new items, replacing the team’s method

Worked as a research assistant in SDG(Sustainable Development Goals) AI Lab, contributing on Disaster Risk Reduction project.

• Collaborated with Bilkent University to develop a model for safely routing people from an earthquake

• Evaluated the reference risk of streets and suggested the safest path in Istanbul by calculating the total risk

Elected as chair of automation projects for finance division that applies machine learning solutions.

• Improved task accuracy from 60% to 95% through the application of Decision Tree and Naive Bayes methods

• Identified problems and information on data structure and preprocessing and proposed categorization of input variables to prevent data overfitting

• Analyzed and enhanced over six-hundred SAP finance programs on ABAP

• Developed training materials and educated 300,000 employees, as well as over 100 foreign subsidiaries

• Integrated two separate systems on approval and expense management and established automated processes that eliminated inefficiency and directly connects with accounting system to reduce the number of approvals from 1.8 million to 1.2 million a year

• Created a system that uses OCR technology to pull accounting information from vendor invoice

• Built an automation scenario from invoice to accounting system and proposed learning methodologies for each field with a developer

Worked as a finance manager in Mobile division

• Analyzed, investigated, and reported financial information of the mobile division in monthly closing of financial statements

• Compared forecasts with actual data and added new benchmarks to save 20% in annual budget planning

• Developed a chatbot that provides information on expense management and reimbursement in company intranet; used node.js and natural language processing and completed prototype production

• Managed facility investments of 8 overseas production plants, reviewed the investment plans and saved USD 730 million by comparing plans with executed investments and reallocating excessive investment budgets to future years

• Lowered production cost per unit from USD 3.73/unit in 2015 to USD 3.43/unit in 2016, saving USD 240 million in total; analyzed yield and capacity utilization of the production plants and identified ways to boost productivity such as production re-scheduling and optimizing internal manufacturing cost

• Won a prize in Samsung Electronics Hackathon

Studying foundation of data science, with the focus on NLP/NLU

• Studying relevant courseworks such as Machine Learning, Big Data, Natural Language Understanding, and Time Series Forecasting

• Working on various project that uses data science to solve real world problems.

• Currently working on two NLP/NLU projects. (One with World Bank, and one with Faculty Fellow)

Studied business administration, with the focus on finance

• Studied finance, marketing, accounting and calculus that had lots of team projects

• Learned my key skills such as teamwork and working on a tight deadlines.

• A committee member of the SNU Finance Club (Team Leader) and SNU Mentoring Club (Vice President)