ELIAS KIM Portfolio Page

I'm a New York city based Data Scientist who loves data and quantitative reasoning.

Got my Master's in Data Science from UofM and Bachelor's in Applied Mathematics from Purdue. Expertise in the finance sector and consulting industries.

You'll find a collection of my work here, spanning Exploratory Data Analysis (EDA), comprehensive End-to-End Machine Learning projects to Deep Learning, and more. It's a showcase of my explorations and experiences across various facets of data science. For detailed project descriptions and codes, please keep scrolling down! Hope you enjoy it! 🤞

NLP(Natural Language Processing)

Expertise in deploying advanced Natural Language Processing models, including fastText for efficient text classification and sophisticated topic modeling techniques such as Latent Dirichlet Allocation (LDA) and Latent Semantic Analysis (LSA), enables the extraction of deep insights from complex textual datasets.

LLM training

Engineered and optimized several Large Language Models using Python and SQL, improving accuracy for coding-focused prompts with the integration of ML libraries: Numpy, Pandas, TensorFlow, and PyTorch.

AML(Anti-Money-Laundering)

Contributed to the development of a new transaction monitoring system, incorporating AML/BSA compliance features using SQL and Python, by designing and implementing an ETL pipeline to migrate data from the legacy warehouse to a new system, ensuring data integrity and transforming formats for enhanced usability.

CNN(Convolutional Neural Network)

Enhanced optimal price prediction model by 10% through training MobileNet and InceptionV3 on the AVA image dataset by incorporating evaluation metrics into the model for aesthetic aspect of Airbnb listing photos

Communication

Effectively collaborated with cross-functional teams to enhance data governance and compliance with regulations, ensuring data quality and consistency, providing actionable insights for informed business decisions.