Chelsea B. Smith

Leader in Data, Analytics, & AI

I’m a data engineer SME and data operations leader with more than 15 years of professional experience. Over the span of my career, I’ve cultivated a deep understanding of how to organize and optimize data within organizations to drive business growth. I've served as both an engineer and as a cross-functional lead of teams designing, building, and optimizing data infrastructures. I have a track record of success in fostering best practices and driving innovation, resulting in improved data accessibility, accuracy, and insights across companies. My technical expertise spans the entirety of the data life cycle, including architecting cloud environments, designing and building automated ELT and data warehousing, writing and enforcing data quality and governance processes, developing automated reports and dashboards, and running machine learning models.

150+
Projects Delivered
$2.4B
Value Generated
25
Enterprise Clients
98%
Client Satisfaction

Selected Work

AI-Powered Risk Assessment Platform

Financial Services · 2024

Built real-time ML platform processing 50M+ transactions daily, reducing false positives by 67% and saving $45M annually in operational costs.

Python TensorFlow Kubernetes AWS

Supply Chain Analytics Suite

Manufacturing · 2023

Designed end-to-end analytics platform enabling predictive inventory optimization across 200+ distribution centers, improving fill rates by 23%.

Snowflake dbt Tableau Airflow

Customer Intelligence Platform

Retail · 2023

Led data modernization and built unified customer view integrating 15+ data sources, enabling personalization that increased conversion by 31%.

Databricks Spark Kafka GCP
All Domains
All Roles
Last 3 Years
42
Active Projects
↑ 12% vs last year
18
Tech Stacks
↑ 3 new this year
2,400
Hours Delivered
↑ 8% utilization
94%
Success Rate
↑ 2% improvement

Skill Distribution

Hours invested by technology area

Machine Learning & AI 850 hrs
Data Engineering 720 hrs
Cloud Architecture 640 hrs
Analytics & BI 520 hrs
DevOps & MLOps 380 hrs

Project Details

Project Domain Role Duration Tech Stack Impact
Risk Assessment Platform
Real-time ML fraud detection
Financial Services Solution Architect
12 months
Jan 2024 - Present
Python TensorFlow AWS
$45M saved
67% false positive reduction
Supply Chain Analytics
Predictive inventory optimization
Manufacturing Technical Lead
9 months
Apr 2023 - Dec 2023
Snowflake dbt Airflow
23% improvement
Fill rate optimization
Customer Intelligence Platform
Unified customer 360 view
Retail Senior Consultant
14 months
Feb 2023 - Mar 2024
Databricks Spark GCP
31% increase
Conversion rate lift
Healthcare Data Lake
HIPAA-compliant infrastructure
Healthcare Solution Architect
18 months
Jun 2022 - Nov 2023
Azure Synapse Power BI
$12M ROI
First year value
Pricing Optimization Engine
Dynamic pricing ML models
Retail Technical Lead
11 months
Jan 2022 - Nov 2022
Python scikit-learn PostgreSQL
18% margin lift
Gross profit increase

Experience Timeline

Principal Technology Consultant

Independent Consulting

2022 - Present

Leading data, analytics, and AI transformation initiatives for Fortune 500 clients across financial services, retail, and healthcare. Specializing in ML platform architecture, data modernization, and enterprise AI strategy.

ML/AI Strategy Data Architecture Cloud Migration Team Leadership

Senior Data Science Manager

TechCorp Analytics

2018 - 2022

Built and led team of 12 data scientists and engineers. Delivered production ML systems serving 50M+ users. Established MLOps practices and platform engineering standards across organization.

Team Management MLOps Production ML Platform Engineering

Lead Data Engineer

DataFlow Systems

2015 - 2018

Architected data platforms processing 1TB+ daily. Led migration from on-prem to cloud infrastructure. Designed real-time streaming pipelines supporting critical business operations.

Data Engineering AWS/GCP Streaming ETL/ELT

Data Analyst

Analytics Innovations

2012 - 2015

Developed analytics dashboards and reporting infrastructure. Built predictive models for customer segmentation and churn prediction. Established data quality and governance frameworks.

Analytics SQL Visualization Statistics