Data Analyst & ML/NLP Engineer

Eric Huang

917-***-**** ***************@*****.*** linkedin.com/in/eczh github.com/ECZH26

Education

Rutgers University-Newark Sep. 2022 – December 2026 Bachelor of Arts in Computer Science, Minor in Data Science GPA: 3.47 Experience

Jasfel Analytics June 2025 – August 2025

Data Analyst

• Collected, processed, and structured 200 rows of U.S. Census ACS data with 45 features using Python and the Census API, transforming raw JSON into clean, analysis-ready datasets to support key business decisions regarding Kean’s acquisition of NJCU.

• Led a team of 4 in cleaning, mapping, and visualizing data with Pandas and Folium; prototyped 4-5 interactive heat maps to determine a 2000-6000 collegiate audience base.

• Refined and documented 4 Jupyter notebooks, creating 40 polished scripts and exporting analysis as a professional PDF presentation for management review. Jasfel Analytics June 2024 – August 2024

Applied Research Scientist, NLP/LLM Focus

• Identified and implemented the most efficient LLM for company needs, leveraging Ollama to optimize performance, reduce costs, and enhance domain-specific outputs.

• Shadowed and learned from an experienced mentor during the development of the company’s first LLM, gaining hands-on experience with Ollama and fine-tuning on Medicare data for domain-specific medical queries. Tech Titan June 2024 – August 2025

AI/ML Instructor

• As a founding intern, designed and delivered the organization’s first AR/VR, Machine Learning, and Data Science courses, developing curriculum and hands-on projects to engage students.

• Consistently achieved top performance in competitions and mock tests, ranking highest among seven classes.

• Led course development and mentored new interns to ensure high-quality instruction and program continuity. Projects

Cognitive Impairment Assessment Research - Data Engineer

• Acted as primary developer for a team of four, leading core coding and workflow design for a data processing pipeline supporting ML-based cognitive impairment detection.

• Collected, reformatted, and merged historical and new audio datasets, manually reviewing recordings to create a control dataset and ensure transcription accuracy.

• Extracted numerical features from patient audio and transcription data to identify speech patterns indicative of cognitive impairment, enabling downstream ML analysis. Spotify Database

• Performed data cleaning and preprocessing on large Spotify music datasets using pandas and NumPy, ensuring high-quality structured data for analysis.

• Conducted exploratory data analysis to uncover trends in musical attributes across decades.

• Developed and customized visualizations with Matplotlib and Seaborn to communicate key patterns and insights effectively.

Technical Skills

Languages: Python, SQL, R

Libraries: pandas, NumPy, Matplotlib, Folium

Developer Tools: Git, Docker, Jupyter, Ollama, VS Code

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