Brett Watanabe
Software and data savvy engineer with agile leadership experience. I am interested in utilizing my experience with developing and delivering technical solutions to help companies use their data effectively.
Experience
Senior Software Engineer
Enabled healthcare clients to advertise to their customers by executing workflows that convert customer info into LiveRamp RampIDs, IDs used by ad publishers to send targeted ads to consumers. Created and maintained software in GCP that automates these workflows.
Data Scientist
Scrum master for the Model Capabilities team. Designed, built, and productionalized several ETLs in AWS. Created a cable service outage detection system based on support call volumes. Investigated Cox cable self-install data to find opportunities to reduce costs. Taught software development best practices to my data analyst peers. Contributed heavily to the establishment and adoption of software standards in the department. Streamlined several internal processes with JIRA dashboards and Microsoft Power Automate.
Software Application Engineer III
Tech lead and scrum master for the Student: Core team. Designed and developed features to manage students' personal information, including a student document management system. Drove department-wide initiatives related to application security. Managed scrum processes on my team. Mentored teammates on software development and professional communication.
Software Application Engineer II
Led one of the Workday Financials: Close teams. Developed and improved features related to the period close process. Mentored team members in software design. Established Agile processes on my team.
Software Development Engineer 1
Full stack engineer working on RepairCenter Connect 2.0, Mitchell's new web-based solution to expediting the processing of automotive insurance claims. Developed, maintain, and test our application's UI and backend services. Provided guidance as my team's Subject Matter Expert on UI automation with Protractor.
Education
Georgia Institute of Technology
- Data and Visual Analytics
- Introduction to Business for Analytics
- Introduction to Analytics Modeling
- Big Data Systems & Analytics
- Machine Learning
- Regression Analysis
- Deterministic Optimization
Claremont McKenna College
- Introduction to Computer Science
- Principles of Computer Science
- Applied Biostatistics
- Honors Seminar in Calculus III
- Linear Algebra
Skills
- Regression
- Machine Learning
- Data Visualization
- Optimization
- Model Selection
- Cross Validation
- Python
- R
- SQL
- JavaScript
- HTML
- CSS
- AWS
- Hadoop
- MapReduce
- pandas
- numpy
- scikit-learn
- jQuery
- D3
- Agile Development & Scrum
- Unit Testing
- Debugging
Projects
Airbnb Real Estate App
Airbnb has disrupted the hospitality market. Rooms rented on Airbnb are often cheaper and more desirable places to stay than hotels in many cities. New York City is no exception.
My team believed that savvy real estate investors in NYC could make a profit by buying properties for the sake of renting them out on Airbnb. Given data from Airbnb, Zillow, and NYC, we were able to create and deploy a web application that could help NYC real estate investors make purchasing decisions. The application shows the projected profitability in each neighborhood of NYC assuming that the buyer rented their new property on Airbnb. It also shows housing prices and aggregated statistics for each neighborhood.