Software Engineer, Data Engineer, Data Analyst

Shuxin Huang

New York, NY • 845-***-**** • ******@********.***

EDUCATION

Columbia University New York, NY

MS in Computer Science, GPA: 3.81 Dec 2024

University of Sydney Sydney, AU

BS in Advanced Computing (First-Class Honors), GPA: 3.94 Jan 2023 TECHNICAL SKILLS

Programming Languages: Python, R, SQL, JavaScript, HTML5/CSS, Java, Node.js, PHP, Ruby Data Analysis: Scikit-Learn, NumPy, Pandas, Matplotlib, Seaborn, Plotly, Keras, PyTorch Statistical Analysis: A/B Testing, Hypothesis Testing, Time Series Forecasting PROFESSIONAL EXPERIENCE

Columbia University Irving Medical Center New York, NY Research Assistant (Data Engineer) Sep 2024 – Jan 2025

• Enhanced an LLM-based classification system for the Joint Cohort Explorer (JCE), improving attribute categorization accuracy by 30% through domain-specific dataset integration.

• Developed an interactive data visualization dashboard using Django and Plotly-Dash, enabling real-time filtering, drill-down analytics, and interactive cohort exploration for biomedical researchers.

• Optimized classification accuracy by implementing fine-tuning on transformer-based models, few-shot learning, and Retrieval-Augmented Generation (RAG), balancing performance and contextual relevance. United Nations New York, NY

Software Engineer Intern May 2024 – Nov 2024

• Designed and developed the department’s flagship website, transforming Adobe XD mockups into a fully functional Drupal-based platform using PHP and Twig, enhancing accessibility for 30,000+ monthly visits.

• Developed backend APIs endpoints within Django and Wagtail in Python to enhance content accessibility for both external and internal use, enabling structured content export.

• Automated website migration to AWS with Python scripts, reducing manual work by 80% and integrated robust application deployment practices within a DevOps framework using Docker. Shanghai Institute of Corporate Culture and Brand Shanghai, CN Data Analyst Intern Jun 2023 – Aug 2023

• Designed a brand valuation framework using Structural Equation Modeling and Regression Analysis with Scikit- Learn, enhancing accuracy by 14% and generating a ranking for tech SMEs.

• Spearheaded automation of report consolidation and review processes for over 100 reports using Python, achieving an 87% reduction in task duration, thereby streamlining workflow, and significantly cutting operational costs.

• Presented findings to executive leadership, leading to revised brand strategy for tech SMEs. PROJECTS

AWS-based Natural Language Search Photo Album

• Developed a scalable AI-driven photo search engine using AWS Lex, OpenSearch, and Rekognition, enabling voice and text-based image retrieval with 96% accuracy.

• Automated image indexing and metadata extraction with AWS Lambda, integrating serverless pipelines to classify and store object, face, and scene data for real-time search in OpenSearch.

• Designed and deployed a RESTful API with API Gateway, optimizing request routing, authentication, and query processing to enable secure and scalable search operations. Contagious Disease Viral Vulnerability Analysis

• Integrated and analyzed eight large-scale datasets including demographics, health infrastructure, case trends using SQL, GeoPandas, Matplotlib, and SciPy.

• Developed a vulnerability scoring model incorporating advanced epidemiological metrics and demographic variables, boosting risk assessment accuracy by 20%.

• Created dynamic geographic heatmaps in GeoPandas to pinpoint high-risk regions, directly informing targeted public health interventions.

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