Data Scientist | Data Analyst
Zoe Yeji Seoung
RECENT PROJECTS
Experience in machine learning, supervised & unsupervised algorithms, utilizing data visualization techniques to present results, and deploying model productions.
Skills
As a data analyst & scientist, I am passionate about translating data into meaningful and comprehensible insights. My goal is to help make and data-driven decisions that lead to cost saving results.
Collect
Postgres, BeautifulSoup, API, Qualtrics, MTurk
"Web scraping, manipulating experimental or questionnaire design and worked with Qualtrics and MTurk to collect data"
Process
Python, Pandas, NumPy
"Data wrangling, cleaning, and reshaping to prepare data analysis and automated workflows"
Analysis
Scikit-learn, Feature-engine, SPSS
"Data exploration, application of statistical methods, and getting more value from your data"
Visualization
Matplotlib, Seaborn, Tableau
"Creating static/interactive visualizations, and illustrating stories with dashboards"
Machine Learning
Git, AWS, PyTorch, imblearn, Supervised ML, Unsupervised ML, Custering
"Building machine learning models and pipelines for predictions based upon historical data"
Deployment
REST API, Heroku, Docker
"Packaging the model for production, serving and deploying the model via REST API using heroku and docker"