Daniel Gonzalez
Machine Learning Engineer @Teamcore
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WORK HISTORY
Machine Learning Engineer @Teamcore
Implemented ML, DL, and statistical models in Python that generated business insights across multiple domains.A recommendation system developed increased client sales by up to 21%.Created and deployed a serverless pipeline on AWS using Step Functions, S3, Lambda, and ECR, reducing model execution time from 12 hours to 30 minutes (a 95.83% improvement).Built a fully automated MLOps system with 98% reduction in manual intervention and 90% reduction in processing time.Key Achievements:Developed high-performance ML solutions that directly impacted revenue.Operationalized model delivery through cloud-native, scalable infrastructure.Integrated ShareByKey for parallelization, optimizing model throughput at scale.
EDUCATION
Lambton College
Postgraduate Degree
Universidad del Valle (CO)
Specialization in Business Intelligence and Big Data
Universidad del Valle (CO)
Bachelor of Science - BS
ABOUT DANIEL GONZALEZ
Passionate about math, code, and solving real-world problems with AI. I’m an AI and data science professional with over 7 years of experience designing and deploying machine learning models and scalable data pipelines across retail, finance, and research sectors. I’ve helped businesses increase sales, improve customer engagement, and streamline decision-making through recommendation systems, predictive analytics, and automation. I hold a Bachelor’s degree in Statistics from Universidad del Valle and completed a postgraduate program in Big Data Analytics at Lambton College in Canada. This academic foundation has given me a strong analytical perspective, which I apply to build impactful data solutions. I specialize in cloud-native development using AWS (Lambda, Step Functions, ECR, S3) and GCP (BigQuery, Vertex AI), and I’m highly proficient in Python, Docker, Spark, and MLOps practices. I enjoy collaborating with cross-functional teams, optimizing end-to-end workflows, and transforming complex data into actionable insights. Recognized for innovation, adaptability, and a hands-on approach in fast-paced environments. Let’s connect.
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