Connor Park
Madison
Summary
Versatile and motivated Data Science student with a keen interest in Machine Learning Engineering, Data Engineering, and Data Analytics. Hardworking and detail-oriented, possessing a robust analytical skill set and a proven ability to navigate and derive insights from complex datasets. Eager to apply a multidisciplinary approach to solving challenging problems and driving innovation in an internship role.
Overview
2
2
years of professional experience
Work History
Bartender
Graduate Hotel
Madison, WI
09.2021 - Current
- Excel in a dynamic, fast-paced environment, effectively multitasking to deliver high-quality customer service and ensure operational efficiency.
- Lead initiatives to analyze sales data, identifying trends to inform strategic decisions on menu changes and promotional events.
- Apply analytical skills to monitor and adjust inventory levels, reducing waste and maximizing profitability.
- Recognized for leadership capabilities, routinely tasked with managing tip distribution at the end of the night.
Education
Bachelor of Science - Data Science
University of Wisconsin-Madison
Madison, WI05.2025
Skills
Programming Languages: Java, Python, C, R
Data Engineering & Processing: SQL, Pandas, Excel, BigQuery, Dataflow, Pub/Sub, Apache Spark, PySpark
Machine Learning & AI: PyTorch, TensorFlow, Keras, OpenCV, scikit-learn, Vertex AI, AutoML
Data Visualization & Reporting: Looker Studio, Looker, matplotlib
Containerization & Orchestration: Docker, Kubernetes
Certifications
IBM AI Engineering Professional Certificate: Proficient in machine learning algorithms and deep learning models using Python, Keras, PyTorch, and TensorFlow. Specialized in computer vision and image processing. Led a capstone project on image classification using the VGG16 model in PyTorch, with performance evaluation and metric reporting.
Data Engineering, Big Data, and Machine Learning on GCP Specialization: Proficient in designing and deploying streaming data pipelines with Dataflow and Pub/Sub. Specialized in BigQuery, TensorFlow, and real-time analytics systems integration. Built resilient batch and streaming data pipelines, managing data lakes and warehouses on GCP, and implementing ML and AI solutions using BigQuery and AutoML.Timeline
Bartender
Graduate Hotel
09.2021 - Current
Bachelor of Science - Data Science
University of Wisconsin-Madison