My name is Joe Waugh, and I'm a Sr. Machine Learning Engineer at ThredUp in Scottsdale, AZ. I am also a native resident of Phoenix, AZ.
I am passionate about data analytics and developing solutions, and I've served in multiple roles as a W2 employee and a 1099 consultant of my own LLC in helping guide decision making for organizations by using data & uncovering patterns. I also serve as a mentor for junior professionals looking for guidance in the field of analytics and machine learning.
I am skilled in providing data-driven recommendations for analytical use cases across multiple industries, with recent work including KPI optimization forecasting, retail sales forecasting, automated image classification, API development, theft & fraud detection, and self-training multi-classification modelling. My contributions on these projects have collectively saved $300M+ in revenue savings, manual labor reduction, and operational savings.
Developing and deploying computer vision models to automate garment measurements for ThredUp's garment inventory, reducing annual labor costs by $1M+ and supporting measurement-related product development
Developing and deploying SOTA automated landmarking computer vision models for various proprietary internal use cases
Led development of an internal package fraud alerting system using multiple GCP microservices resulting in $300M+ in revenue savings from customer churn and 100+ internal employee terminations due to theft
Developed a TensorFlow image classification model for package surcharges, yielding an estimated $3M in future revenue
Deployed production changes to improve the FedEx.com estimated delivery date prediction model accuracy by 5%
Built a TensorFlow image classification model to audit picture proof of delivery images, generating yearly savings of $2M
Developed a computer vision learning curriculum and facilitated an internal workshop for 15+ data scientists
Built 10+ data ingestion jobs with Cron and Cloud Composer for ingestion of IBM AS/400 and DB2 data into BigQuery
Technology Used: Python, SQL, Spark, TensorFlow, BigQuery, Cloud Logging, Cron, Cloud Composer, Power BI
Built capex spend analysis regarding $300-700M facility upgrades and reviewed with executive stakeholders. This work resulted in a 100% approval rate for CapEx spend proposals
Developed a Python library to handle company forecast data for a 1.2B+ capex budget optimization research initiative
Developed 7 different robotics process automation (RPA) use cases from ideation to deployment that resulted in $400k cost savings and 30 FTEs saved for the organization
Collaborated with internal claims leadership to develop claim volume forecasts, resulting in improved operational efficiencies and business growth by accurately estimated FTE needs for upcoming fiscal year
Performed A/B product tests to identify 5% lift in a potential new product to identify telematics-related information during crash events related to the State Farm Drive Safe and Save program
Outside of my professional roles, I have had the opportunity to mentor over 20 individuals as a Data Science & Machine Learning mentor on the MentorCruise platform.
As an active mentor on the MentorCruise platform, I am committed to providing a structured and personalized mentorship experience. I focus on understanding each mentee's unique career objectives and crafting tailored plans to help achieve them. Whether you are looking to transition to a major tech firm, refine your resume, prepare for interviews, or advance in your current position, I am here to offer expert guidance and support. I invite you to schedule an introductory call to discuss how we might collaborate on your professional growth.
