Data Analyst Analysis

Minhee Kwon

332-***-**** • **********@*****.*** • linkedin.com/in/minhee-kwon • github.com/MinheeKwon95 SUMMARY

• Results-oriented Data Analyst with an MS degree in Biostatistics and Data Science from Cornell University

• 3 years of experience conducting data analysis, and statistical data analysis, with proficiency in SQL, Python, and R

• Skilled in data analysis, research, and presentation with data visualization, data engineering, and predictive analytics

• Proven ability to work cross-functionally, using strong collaboration and communication skills to drive data-driven decisions SKILLS

• Programming: SQL, R, Python, Machine Learning, Jupyter Notebooks, Scikit Learn, MATLAB

• Data Analysis/Engineering: Statistical Analysis (SAS, SPSS), Predictive Analytics, Data Engineering

• Data Visualization: Tableau, Python (Matplotlib, Pandas, NumPy, SciPy, Seaborn, Plotly), R (ggplot2, Plotly, Shiny)

• Microsoft Office: Advanced Word, Excel, and PowerPoint Languages: English, Korean EXPERIENCE SKIM Analytical Inc. Market Research Analyst, Hoboken, NJ Oct 2023 - Present

• Led end-to-end solution design and consulting, troubleshooting complex issues, and compiling detailed project reports to translate data analysis findings into actionable business strategies and presentations

• Designed and programmed tailored surveys using Lighthouse and Perl for comprehensive data collection

• Applied advanced data analysis techniques (e.g., MaxDiff, cross-tabulation, clustering, TURF analysis) with Q, R, and Excel to extract precise insights from extensive datasets

Weill Cornell Medicine/Columbia University Research Data Analyst, New York, NY Apr 2023 - Jan 2025

• Conducted thorough mental health analysis of large datasets (electronic health records) and data management, using SQL and R

• Performed statistical, descriptive, correlational analysis, data mining and predictive models to identify the risk factors associated with Perinatal Mood and Anxiety Disorders (PMAD), using R and Python

• Created comprehensive visualizations and statistical reports to effectively communicate analysis findings to stakeholders LG Electronics R&D Center AI Data Scientist, Seoul, Korea Jun 2021 - Jul 2021

• Led an NLP project to develop a multi-language database, resulting in a 20% improvement in model performance

• Conducted Speech to Text testing (STT) to ensure the accuracy of speech models in transcribing user speech patterns into text

• Trained and mentored a multinational team of 4 members to construct multi-language databases for NLP projects in smart TV and smart laundry machine applications, contributing to product development and driving forward global expansion initiatives W Concept USA E-Commerce retail analyst, Englewood, NJ Jan 2018 - May 2018; Feb 2019 - Jan 2020

• Analyzed sales trends and user needs for the E-commerce platform, leveraging Google Analytics and internal databases

• Led data-driven promotional strategies and digital advertising, resulting in optimized campaigns and revenue growth

• Collaborated cross-functionally to leverage insights and contribute to achieving business goals in a large-scale digital environment

PUBLICATION An Update on Prevalence and Trajectories of Perinatal Anxiety and Depression: Electronic Medical Records Analysis in a Large Hospital System Weill Cornell Medicine, Preprint, New York, NY Jan 2025

[https://www.researchgate.net/publication/388139276]

• Utilized advanced statistical models and data mining techniques to analyze electronic medical records, providing insights into the prevalence and progression of perinatal mental health disorders

• Generated impactful data visualizations (graphs, tables, figures) to effectively communicate key findings to clinical and research stakeholders

EDUCATION Cornell University, New York, NY Sep 2022 - Aug 2023 MS in Biostatistics and Data Science

• Major Coursework: Data Science 1&2, Big Data in Medicine, Artificial Intelligence in Medicine, Biostatistics 1&2

• Awarded the Best Capstone Presentation Award in the field of Biostatistics and Data Science Stony Brook University, Stony Brook, NY Jan 2016 - Dec 2018 BS in Business Management Concentration: Marketing

• Graduated summa cum laude and awarded the University’s Merit Scholarship and the Academic Excellence Scholarship

• Major Coursework: Economics, Business Statistics, Decision Sciences

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