I specialize in skills required for creating sustainable Data Pipelines for Deep Learning & Machine Learning.
Developed Reranking algorithm for product recommendations, implemented data pipeline using Airflow and AWS CodePipeline (ECS, Lambda, API Gateway, Slack). Performed statistical analysis based on marketing & sales KPI. Created interactive dashboard with visualized marketing analysis using Plotly, Dash, AWS Quicksight, and Google Data Studio.
Analysis of pharmacokinetics of target drug to to identify adequate dose in correlation with disease development. Worked with a systems biology model to simulate a computational model of the molecular pathway.
Designed websites and promotional ads for different types of businesses, managed social accounts with innovative marketing strategies. Utilized Adobe Illustrator, Wix, Instagram, and FB for marketing and advertisements.
Participated in in-vitro and in-vivo experiments : Cell proliferation, cytotoxicity assay, PCR, mouse handling and glucose infusion. Published paper on Journal of Medicinal Food - May 2017, 20(5): 439-447. (https://doi.org/10.1089/jmf.2016.3860) registered as Korean name : Hyunjin Do
March 2013 - June 2018
Bachelor of Science in Life Science,
Bachelor of Engineering in Computer Science
Jan 2019 - Dec 2021
Master of Arts in Computer Science
Jul 2021 - Jan 2022
Data Science Bootcamp - AI Bootcamp (5th)python, scikit-learn, arcgis (geocoding), snscrape, tweepy
python, Flask, Heroku, PostgreSQL, NLTK, Markovify
VGG16, python, big-query, google cloud platform
Tweepy, Snscrape, NLP, Vader Sentiment Analysis, scikit-learn
Unity, C#, Google Cardboard
Unity, C#
