Seunggyun Shin

• Optimized Caterpillar’s outbound freight process using Tableau visualizations and predictive analysis in Python • Formulated an analytics pipeline with a regression model to predict optimized costs from non-linear tendencies • Delivered feasible business solutions to support strategic initiatives, reducing unnecessary expenses by 6.4 percent

• Explored Synchrony’s telephonic data logs to enhance IVR system, prioritizing calls transferred to representatives • Analyzed patterns from IVR records of transferred calls and re-calls through visualizations and machine learning • Identified defects within mobile payments and proposed system renewal for cost reduction and customer satisfaction

• Participated in a case competition sponsored by Purdue University, Microsoft, Informs, Prediction Guard, and Certiport as a team of 4 • Extracted information from 12K medical consultation transcriptions, securing a ranking of 14/281 • Utilized LLM such as Llama 2 and GPT after Regex pre-processing to harvest objective information from texts • Completed Microsoft Azure training, acquiring proficiency in cloud computing and infrastructure management

• Aggregated CDC health survey data sets to contrive an algorithm by user inputs to suggest healthier choices • Conducted statistical analysis and established classifiers to notify potential risks in liver and cardiovascular diseases • Applied unsupervised and supervised learning on the collected data, with weekly presentations on the procedure

• Collaborated with team members to produce prediction models of Change Order severity during plant construction • Adjusted texts via tokenization and vectorization, applied classification methods for multivariate response variables • Constructed web application via R Shiny per company’s request and introduced as a reference for client negotiations

• Participated in a rigorous government support data science education program organized by Korea Data Agency • Received a certificate of completion on courses of statistical concepts, machine learning, deep learning, and DBMS • Assigned into a company and engaged in the data analytics competition to produce adequate business solutions

• Attended workshop on a regular basis and received training on analyzing financial statement and business valuation • Analyzed business and financial statements of Samsung SDI and Spirit airlines to formulate investment thesis • Participated in the AIM’s fund operations with total AUM of $20K and outperformed S&P 500 by 2.7%

• Nominated to serve as an Army interpreter in the Operations branch of the R.O.K.A 2nd Operations Command • Participated in three Joint Military exercises with the U.S. Army and received an award for ethical behaviors • Led a squad of 12 soldiers into FTXs & TTXs and distributed daily tasks to insure a flawless workflow

Concentration in Information Technology and Control Coursework: Business Intelligence, Enterprise Database Management, Data Storytelling, Big Data Analytics in Finance, Data Analytics Applications in Accountancy, Big Data Infrastructures, Decision Analytics, Introduction to Communication Analytics

Minor in Informatics Military Leave: Fall 2017 ~ Fall 2019