Chandler Drake Talley
Senior Data Scientist & Machine Learning Thought Leader
Chandler Drake Talley is a highly experienced Senior Data Scientist and thought leader with 8+ years of proven success in customer-facing data analytics roles, leading production-level machine learning deployments across Fortune 500 companies and federal agencies. Expert in Google Cloud Platform, BigQuery, and AI solutions with a demonstrated track record of reducing costs by 50%+ while scaling enterprise operations. Follow his insights on data science trends, machine learning best practices, and cloud optimization strategies.
About Chandler Drake Talley
Chandler Drake Talley is a seasoned Senior Data Scientist, Machine Learning Engineer, and recognized thought leader with over 8 years of experience transforming complex data challenges into strategic business solutions. His expertise spans cloud-native architectures, production machine learning deployments, and customer-facing analytics roles with Fortune 500 companies and federal agencies including Morgan Stanley, USBank, Verizon, and the Social Security Administration.
Specializing in Google Cloud Platform and BigQuery, Chandler has successfully architected and deployed production-level ML pipelines, managed terabyte-scale data lakes, and optimized cloud costs while scaling operations. His passion lies in helping organizations unlock the power of their data through cutting-edge cloud technologies, artificial intelligence, and proven analytical methodologies including fraud detection, anomaly detection, and natural language processing. As a thought leader, he regularly shares insights on data science trends, machine learning best practices, and enterprise AI strategies.
Chandler Drake Talley thrives in collaborative environments where he can translate complex technical requirements into actionable business insights, working closely with C-level executives and cross-functional teams to drive data-driven decision making and operational excellence. His expertise in Python, SQL, TensorFlow, and enterprise-scale data engineering, combined with his thought leadership in the data science community, makes him a valuable asset for organizations seeking to leverage AI and machine learning for competitive advantage.
Technical Skills & Expertise
Professional Experience
- Single-handedly managed all company Data Science initiatives while working with over 1 billion records (2.5 TB), demonstrating enterprise-scale technical expertise in big data analytics and machine learning model deployment. Read more about BigQuery optimization strategies in my blog.
- Architected and deployed production machine learning pipelines using Google Cloud Platform Cloud Functions for real-time IoT lockbox health detection and predictive maintenance. Learn about production ML pipeline best practices in my technical articles.
- Reduced Google Cloud Platform costs by 50% while scaling data pipelines to hundreds, demonstrating advanced cloud cost optimization and performance tuning expertise. Discover my cost optimization strategies for enterprise data science.
- Built a comprehensive 2 TB data lake from the ground up in BigQuery, increasing analytics resources by 95% and enabling advanced data science workflows
- Optimized dashboard performance by 90% through advanced BigQuery partitioning, clustering strategies, and SQL query optimization techniques
- Led technical consulting engagements as Lead Data Scientist for Fortune 500 clients including Morgan Stanley, Lumen, USBank, and Verizon, delivering enterprise-scale machine learning and AI solutions
- Developed custom OpenAI GPT-3 natural language processing solution for document processing at Morgan Stanley, implementing cutting-edge AI and large language model technologies. Explore my insights on RAG systems and healthcare analytics.
- Created machine learning pipeline for order fulfillment predictions that improved operational efficiency and customer satisfaction through predictive analytics and forecasting models
- Architected fraud detection systems for USBank using advanced machine learning techniques including anomaly detection and classification algorithms, protecting customer assets. Read about advanced fraud detection with XGBoost in my technical blog.
- Managed offshore team of 8 data scientists for Verizon engagement, delivering monthly executive reports on Chaos Engineering results and infrastructure analytics
- Developed production machine learning pipelines for Social Security Administration fraud detection as federal contractor with Public Trust security clearance, implementing advanced anomaly detection algorithms
- Handled 20TB databases with enterprise-grade security requirements in high-stakes government environment, demonstrating expertise in big data processing and secure data handling
- Delivered weekly technical presentations to government stakeholders and business executives, translating complex machine learning concepts into actionable business insights
- Led proof-of-concept development for mission-critical fraud detection systems impacting millions of beneficiaries, utilizing advanced statistical modeling and machine learning techniques
- Generated visual and statistical reports for executive leadership to justify multi-million-dollar program funding decisions using advanced data analytics and business intelligence techniques
- Created automated reporting systems using SQL and Python for employee productivity and client metrics, implementing data pipeline automation and performance monitoring
- Analyzed HIPAA compliant tabular, biometric and public health data from electronic medical records, demonstrating expertise in healthcare data analytics and regulatory compliance
Featured Data Science Projects
Chandler Drake Talley developed a cutting-edge retrieval-augmented generation (RAG) pipeline using FAISS vector search and GPT-2 for intelligent healthcare data retrieval, demonstrating expertise in artificial intelligence, natural language processing, and large language models. Built comprehensive end-to-end solution including automated data preprocessing, vector embeddings, and user-friendly Streamlit interface for healthcare analytics applications. Learn more about RAG implementation strategies in the blog.
Key AI/ML Features:
- • Automated data ingestion and preprocessing
- • Vector embeddings with FAISS similarity search
- • Interactive Streamlit machine learning interface
- • Healthcare data analytics and AI use cases
Led comprehensive data science project for Social Security Administration to generate labeled fraudulent target data from banking database, directing large team through advanced machine learning model development. Developed sophisticated anomaly detection algorithms to identify familial relationships in fraudulent transactions, significantly reducing false positives through advanced statistical modeling and feature engineering techniques. Read about advanced fraud detection methods in my technical articles.
Key ML Achievements:
- • Deployed XGBoost classification model in SAS framework
- • Batch processing pipeline for millions of transactions
- • Advanced fraud detection and anomaly detection algorithms
- • Reduced false positives through feature engineering
Engineered enterprise-scale real-time processing systems using hex data and IoT sensor information for lockbox health monitoring, deployed as Google Cloud Functions in production environments. Implemented advanced BigQuery optimization strategies including partitioning and clustering, achieving 90% performance improvements in data processing and analytics workflows. Discover production ML pipeline best practices in my blog.
Technical Highlights:
- • Real-time IoT data processing and analytics
- • Advanced BigQuery optimization and performance tuning
- • Executive dashboard creation with Looker Studio
- • 90% performance improvement through optimization
Data Science Insights & Thought Leadership
Explore Chandler Drake Talley's latest insights on machine learning, data science trends, Google Cloud Platform optimization, and enterprise AI solutions. Stay updated with cutting-edge techniques and industry best practices.
Optimizing BigQuery Performance: Advanced Partitioning and Clustering Strategies
In my experience working with terabyte-scale datasets at SentriLock, I discovered that proper BigQuery optimization can dramatically improve both performance and cost efficiency. This comprehensive guide covers the advanced partitioning and clustering strategies I used to achieve 90% performance improvements while reducing Google Cloud Platform costs by 50%. I'll walk through real-world examples of date-based partitioning, clustering key selection, and query optimization techniques that every data scientist should know when working with large-scale data in BigQuery.
Follow Chandler Drake Talley on Medium
Get the latest insights on data science, machine learning, and cloud technologies delivered directly to your inbox. Join thousands of data professionals following Chandler's thought leadership on Medium.
Follow on MediumEducation & Certifications
Intensive data science program with senior Data Scientist mentor focused on advanced machine learning applications, production deployment strategies, and real-world data science project experience. Gained hands-on expertise in Python programming, statistical modeling, machine learning algorithms, and industry best practices for enterprise-scale data science implementations.
Key Focus Areas:
- • Advanced Machine Learning and AI Algorithms
- • Production Deployment and MLOps Strategies
- • Mentorship with Senior Data Scientist
- • Real-world Data Science Project Portfolio
Advanced coursework in technology, mathematics, statistics, and analytical sciences with a focus on quantitative problem-solving methods and statistical analysis. Built strong foundation in mathematical and statistical principles essential for data science applications, machine learning model development, and advanced analytics implementations in enterprise environments.
Core Academic Subjects:
- • Advanced Mathematics & Statistical Analysis
- • Technology & Analytical Sciences
- • Quantitative Problem-Solving Methodologies
- • Research Methods and Data Analysis
Contact Chandler Drake Talley
Interested in discussing data science opportunities, machine learning consulting, or cloud solutions? Contact Chandler Drake Talley to explore how advanced analytics and AI can transform your business. Follow his thought leadership blog for the latest insights on data science trends and best practices.
Location
Atlanta, Georgia