SKILLS

Programming Languages: Python (Pandas, Scikit-learn, PySpark, NumPy), SQL, R
Platform Tooling: Azure, AWS, Databricks, Docker, DBT, Terraform, Jira
Data Visualization Software: Tableau, PowerBI
Professional Certifications: Texas Certified Public Accountant (CPA)

PROFESSIONAL EXPERIENCE

Senior Data Engineering Consultant, AI & Data Engineering

Led a team of 6 as the lead architect in the design, development, and deployment of a greenfield Azure and Databricks Data Warehouse implementation using extensive SQL transformations for an international spirits distiller
Led the implementation of an open-source data governance platform to improve data documentation and quality, resulting in a 50% decrease in production bugs in the first 6 months of deployment
Implemented automated testing and CI/CD practices into the release cycle of a $5B consumer products company, reducing migration downtime from 24 hours to 6 hours
Designed, developed, and implemented the financial cost allocation process using Azure Dedicated SQL Pools, Azure Data Factory, and T-SQL to enable brand-level financial reporting for an international wine and spirits distiller
Led a cross-functional team of 5 offshore engineers and data analysts to identify and resolve a $43M annual revenue leak at a large, online employment board tech company
Designed and developed a Power BI model for a wine and spirits company to serve as the semantic model and entry point for non-technical analysts to access and analyze data for a $5B international spirits distiller

Data Science Consultant, Deloitte Digital

Performed recency, frequency, and customer lifetime value analyses to cluster customers into strategic marketing target groups. Measured campaign success using A/B testing, reporting a 6% month-over-month revenue increase
Partnered with Engineering, Product, and Revenue Operations to identify customer groups most likely to raise incidents using a decision tree model, resulting in a billing system migration of 10K customers with 0 churn
Developed and implemented a logistic regression model to analyze contributing factors to customer churn, resulting in the identification of a $43M revenue leak
Led a team of 6 to identify Generative AI use cases across Telecommunication, Technology, and Media industries, resulting in $25M in sold engagement work
Organized a panel event with 1k+ attendees on Generative AI and Natural Language Processing

Senior Auditor, Analytics

Designed an outlier detection model to identify unusual transactions for audit selection, reducing audit hours by 3%
Expanded utilization of India based team, increasing offshore utilization by 18% and creating a 24-hour work cycle.
Gathered visualization requirements, retrieved transaction data, and designed and built Tableau visualizations to further audit risk assessment
Retrieved and analyzed transaction data using Python and SQL
Managed a team of 7 direct report staff auditors in the completion of a 15,000 hour PCAOB audit of a F100 Company

Completed the cloud resume challenge using AWS services (Lambda, Route 53, API Gateway, S3, DynamoDB) and deployed using CloudFormation
Created a portfolio demonstrating functional and technical knowledge of linear and logistic regression models, support vector machines, simulation, optimization, change detection, time series forecasting, decision trees, and other analytical tools
Built a personal budget tracker using a Raspberry Pi, Python, and Mint.com API
Completed an analysis that measures the correlation between sentiment of Bitcoin Tweets and Reddit comments and the price of Bitcoin

Master of Science, Computer Science (ML Specialization)In Progress

Master of Accounting (Honors)

B.B.A., Finance (Magma Cum Laude)