Petar Ganev

Data Scientist with more than 3 years of hands-on experience in using state of the art methods and algorithms for solving complex problems. Skilled in the processes of deployment and management of machine learning models on both AWS Sagemaker and internal platforms. Proficient in ensuring robust production pipelines, handling end-to-end processes from data extraction and preprocessing to daily prediction feeds. Adept at researching feature engineering techniques, optimizing model architectures and hyperparameters, and selecting the right AWS infrastructure. Strong problem solver, frequently performing ad-hoc analyses to address business needs. Skilled in leading cross-functional communication to resolve different problems. Expert at developing internal Python packages to automate workflows. Proven ability to document processes and maintain production systems efficiently.

• Data Science Professional Certificate, IBM
• Machine Learning, Stanford University
• Deep Learning, DeepLearning.ai
• Deep Learning, Software University
• Math Concepts for Developers, Software University
• Generative AI with Large Language Models, DeepLearning.ai
• Building and Evaluating Advanced RAG, DeepLearning.ai
• LLM Ops, DeepLearning.ai
• Vector Databases from embeddings to applications, DeepLearning.ai
• Building Applications with Vector Databases, DeepLearning.ai
• Customer Analytics, University of Pennsylvania
• Complete Data Science Bootcamp, 365 careers
• The Business Intelligence Analyst Course, 365 careers