AI & Data Senior Consultant
Transforming healthcare through cloud data engineering, AI, and machine learning solutions at scale
I'm a Senior Consultant specializing in Cloud Data Engineering, Data Science, and AI within Life Sciences & Healthcare, with expertise in Google Cloud Platform (GCP).
I have led large-scale data ingestion and EL, ELT, and ETL pipeline development, processing billions of healthcare messages into data warehouses for enterprise analytics. I excel in building custom pipelines for data enrichment, auditing, and ensuring data integrity while driving actionable insights. I am keenly interested in Agentic Engineering, Machine Learning (ML), Artificial Intelligence (AI), and Emerging Technologies.
Engineered and deployed robust data ingestion and EL, ELT, and ETL pipelines on GCP, processing billions of healthcare records with guaranteed data integrity and availability. Designed scalable cloud architectures for real-time streaming and batch processing, and led implementation of comprehensive monitoring and data standardization solutions across GCP services.
Developed and delivered comprehensive Data Science curriculum, including over 100 hours of instructional videos. Provided personalized technical mentorship and code reviews to students, fostering success in complex data science concepts and practical application.
Worked on data science projects and analytics solutions, contributing to various client engagements and developing expertise in practical data science applications.
Led data science initiatives and team coordination, building foundational leadership skills in technical project management and team collaboration.
Insights on AI, Data Engineering, and Healthcare Technology
Learn how to decode JSON columns in pandas and convert nested data into a tidy DataFrame format using one-hot encoding. Includes practical code examples and performance tips for handling large datasets....
Read on MediumLearn how DBSCAN finds clusters of any shape in your data without knowing the number of clusters beforehand. This tutorial covers the algorithm's core concepts, benefits over KMeans, and includes a complete from-scratch Python implementation that matches Scikit-Learn's results....
Read on MediumLearn the fundamentals of Pandas DataFrames and exploratory data analysis using real-world data. This comprehensive tutorial covers DataFrame creation, data viewing techniques, summary statistics, visualization methods, and automated EDA tools. Includes practical examples using the SBA Paycheck Protection Program dataset with step-by-step code demonstrations for histograms, box plots, bar charts, and data grouping operations....
Read on MediumAdvanced data science fellowship program focusing on real-world applications and industry best practices.
Comprehensive data science program covering machine learning, statistics, and practical implementation.
Foundation studies in Seattle, building the groundwork for technical career development.
Large-scale data ingestion and ETL pipelines on GCP processing billions of healthcare records with guaranteed data integrity and real-time monitoring capabilities.
Enterprise analytics platform leveraging Vertex AI and machine learning models for predictive healthcare insights and autonomous data processing systems.
Comprehensive data science educational program with 100+ hours of instructional content, covering machine learning, statistics, and practical applications for aspiring data professionals.
I'm always excited to discuss interesting projects in cloud data engineering, AI/ML, and healthcare analytics. Whether you're looking to collaborate on innovative solutions or explore new opportunities, I'd love to connect.
GCP expertise with billions of records processed
Healthcare-focused AI solutions and analytics
100+ hours of curriculum development
LinkedIn is the most reliable way to connect with me. I'm active there and respond to messages regularly!
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