Responsibilities included:

• Led a multidisciplinary team of Software, ML, MLOps, and Building Science Engineers in developing a modeling platform. This expert system employs machine learning, graph optimization algorithms, and a rules engine to create carbon reduction plans for commercial real estate across North America.
• Established the company’s first data warehouse in BigQuery, laying the foundation for comprehensive data gathering and analytics.
• Developed PostgreSQL application databases to support and power our products’ front and back ends, optimizing them for front-end analytics and high-performance read/write operations.
• Created dashboards using Google Looker, providing Building Scientists with a QA tool for our modeling platform and identifying areas for improvement.
• Collaborated with senior management to plan and set quarterly objectives aligned with business goals. Successfully executed these objectives with my team, achieving 80% of our targets in the most recent quarter.

Responsibilities included:

Data Analysis:

• Take a proactive approach to gathering requirements from a variety of stakeholders and develop them into an analytical solutions
• Collaborate with Data Engineers/Analysts/Scientists to support the end-to-end development of analytical products
• Analyze large data sets to identify market/business sector trends, customer buying patterns, etc. to inform sales, marketing, and operational decisions
• Apply and integrate statistical, mathematical, and business analysis skills to support the Analytics team in managing complex data from a variety of sources
• Craft compelling data based stories and communication to business stakeholders
• Create python scripts to automate analytical tasks
• Query data using SQL and edit stored procedures
  
  Business Support:
  
• Responsible for building and maintaining supporting relationships with business stakeholders through the response to ad hoc analysis requests and supporting & enhancing automated reports
• Prioritize projects to maintain focus on adding value to the organization
• Supporte the usage & driving adoption of analytical products and reports

Responsibilities included:

• Collaborated with a team to identify business challenges and needs and translated them into advanced analytics solutions for Gevity clients through thoughtful design and development. Specifically supported a key engagement to develop an analytic strategy for an innovative life science firm.

Responsibilities included:

Deployed a Python program to classify live-streaming equipment end-uses using hierarchical clustering with 95% accuracy:

• Deployed a Python program to manipulate and predict on 66 million rows of NoSQL data
• Solved a business problem by predicting 200+ sensors into 6 end-uses for anomaly detection
• Identified data discrepancies in Python that improved model accuracy by 5%

Consulted with technical and non-technical stakeholders:

• Addressed data type issues to the senior leadership team that improved data warehousing
• Translated statistical techniques and model results to the senior leadership team

Collaborative coding with the data science team:

• Guided data science team through statistical techniques that improved model performance
• Managed analytics project with 3 data scientists that resulted in model delivery after 2 months

Responsibilities included:

• Designed emergency evacuation plans using AutoCAD, increasing the public safety of government buildings
• Collaborated in a team to ensure all building plans were correct and on schedule in order to meet government deadlines

Responsibilities included:

• Independently collected, organized, and cleaned data on the city’s buildings and facilities, decreasing the time to create fire pre-plans
• Coordinated with an app developer to help with the front-end development of the departments pre-planning app which helped streamline the apps release to the firefighters
• Developed multiple technical documents on Abbotsford’s new pre-incident plan program which helped other fire departments in British Columbia implement their own program quicker and more efficiently

Responsibilities included:

• Generated spreadsheets about fluid leaks in buses by cleaning, and organizing years’ worth of data in order to pinpoint the problem areas, saving the environmental departments time sorting through data
• Wrote and illustrated a technical fluid leak analysis report with summarized data visualizations which identified key problem areas for the department and helped reduce expenses on environmental cleanups