Summary
Christopher Caldarella is a data scientist with nine years of experience spanning software engineering and culinary hospitality, known for translating complex problems into practical, scalable data solutions. Based in North Carolina, he has led end-to-end ML initiatives at Insight, building data pipelines and deploying models using Python, OpenCV, TensorFlow, AzureML, and cloud services across Azure, AWS, and GCP. His projects range from hydraulic-leakage detection with an 80% accuracy to object detection with computer vision, metadata interpretation with NLP, and building web-based generative AI tools plus reusable Python libraries for data scientists. He has hands-on experience integrating data across APIs (Shopify, Salesforce, Ping Identity) and delivering end-to-end workflows from ingestion to reporting. A rigorous problem-solver who pairs culinary discipline with coding, he holds a BS in Computer Engineering from Rutgers and a General Assembly Data Science certificate.
9 years of coding experience
2 years of employment as a software developer
Certificate, Data Science, Certificate, Data Science at General Assembly
Bachelor of Science (BS), Computer Engineering, Bachelor of Science (BS), Computer Engineering at Rutgers, The State University of New Jersey-New Brunswick