full_cv.yaml

experience:
  - company: "Workers' Compensation Board"
    title: "Data Scientist"
    dates: "2022-Present"
    bullets:
      - headline: "Led department's prescriptive analytics initiative for claims intervention optimization"
        variations:
          - "Spearheaded a department initiative to develop MVP action recommendation models, including the creation of automated processes, standardization of patterns and templates, and the implementation of robust evaluation and output surfacing techniques"
          - "Guided a new prescriptive analytics initiative to recommend optimal interventions, applying causal inference on past experiment data to identify which claims would most benefit from early return-to-work planning"
          - "Championed causal machine learning modeling to recommend optimal interventions in claims management, improving decision-making processes and driving significant business impact"
          - "Led the department's new prescriptive analytics initiative to apply causal inference and machine learning techniques to identify the best interventions for a decision in a claim's life cycle"
          - "Incorporated a risk-adjusted strategy to ensure recommended actions balanced potential gains against model uncertainty, drawing inspiration from mean-variance approaches"

      - headline: "Led design and implementation of claims workload allocation tool"
        variations:
          - "Led the design and implementation of a workload allocation tool for return-to-work planning, utilizing causal machine learning and optimization techniques, projected to shorten claim durations by an average of five days per person"
          - "Led the design of a workload allocation tool for return-to-work planning for injured workers expected to shorten the duration of claims by an average of 5 days per person"
          - "Developed risk-adjusted workload allocation strategies balancing potential gains against model uncertainty, drawing inspiration from mean-variance approaches"
          - "Led the design and implementation of a workload allocation tool for return-to-work planning, utilizing optimization techniques projected to reduce claim durations by an average of 5 days"

      - headline: "Managed and deployed production machine learning systems"
        variations:
          - "Oversaw the maintenance and security of 10+ automated models within MS Azure Machine Learning"
          - "Deployed multiple machine learning models into production using Microsoft Azure Machine Learning, ensuring continuous improvement and operational efficiency"
          - "Designed, developed, and deployed multiple machine learning models using Python and Azure Machine Learning, improving decision-making processes in claims management"
          - "Deployed multiple machine learning models with Azure ML, overseeing updates and feature adjustments to maintain alignment with evolving business needs"
          - "Adapted an existing multi-label deep learning model used for claims coding and retrained it on COVID-19 claims to further accelerate manual claims coding efforts"
          - "Refined and adapted a multi-label deep learning model for efficient COVID-19 claims coding, significantly improving manual coding processes"

      - headline: "Developed experimentation platform and RAG application"
        variations:
          - "Led the development of an experimentation application to reduce overhead challenges in conducting business experiments to test new processes"
          - "Developed a RAG application to enable a chat interface to chat with our department's measures and solutions data, greatly reducing time to finding answers to data questions"
          - "Initiated the first instance of ongoing experimentation for return-to-work planning"
          - "Led the development of an experimentation platform to streamline business experiments, reducing overhead and accelerating the testing of new processes"

      - headline: "Led team mentorship and cross-organizational collaboration"
        variations:
          - "Mentored team members to help them support the prescriptive analytics initiatives to deliver on department goals"
          - "Regularly communicate with business stakeholders to ensure alignment of work and goals"
          - "Enhanced the collaborative relationship between the data science team and Claims & Rehabilitation, leading monthly data science sessions for effective project feedback"
          - "Conducted biweekly research on emerging tools and techniques, sharing insights to drive collective growth and innovation within the data science team"
          - "Assisted analytics teams at other workers' compensation boards in Canada by sharing our team's proven strategies and solutions, enhancing their capabilities in advanced analytics"
          - "Mentored and led junior analysts, fostering team growth and skill development, enhancing the team's capability to deliver on department goals"
          - "Translated complex analytical insights to technical and non-technical stakeholders, ensuring alignment with business objectives"
          - "Collaborated with stakeholders across departments to align machine learning solutions with business goals, enhancing the impact of analytics projects"
          - "Provided expert consulting in advanced analytics to internal teams, facilitating data-driven decision-making across the organization"
          - "Communicated model insights and potential business impacts to senior leaders and managers, securing buy-in for integrating analytics-driven recommendations"

      - headline: "Applied advanced analytics and causal inference techniques"
        variations:
          - "Collaborated with stakeholders to build a causal machine learning recommendation model for physiotherapy extension decisions which informed the department approach to prescriptive modelling"
          - "Engineered and automated a causal machine learning model for physiotherapy decisions, significantly enhancing the department's approach to prescriptive modelling"
          - "Applied econometric and causal inference techniques using Python's DoWhy and econml packages on observational data, accounting for bias and enhancing model reliability"
          - "Applied causal machine learning techniques using Python's DoWhy and econml packages on experimental and observational datasets to support organizational decision-making"
          - "Utilized Python-based causal ML frameworks to analyze observational and experimental data. Ensured outputs were understandable and actionable, bridging technical models with business-friendly explanations"
  - company: "Health Authority"
    title: "Senior Business Analyst"
    dates: "2018-2022"
    bullets:
      - headline: "Led chemotherapy scheduling optimization initiatives"
        variations:
          - "Validated, improved and implemented a chemotherapy scheduling optimization model designed for a decision support web application with clinical and operational leads"
          - "Developed and implemented a CPLEX chemotherapy patient scheduling constraint programming model, in tandem with clinical and operational stakeholders, that maximizes staff utilization and reduces manual scheduling labour"
          - "Created and deployed a chemotherapy scheduling optimization model, aligning with clinical and operational leads to boost staff efficiency and minimize manual scheduling"
          - "Developed and integrated optimization models into clinical decision-support tools for chemotherapy scheduling. Prioritized objectives—staff capacity, fairness, safety, and patient preferences—and balanced these constraints within a single framework"

      - headline: "Developed critical healthcare infrastructure forecasting methodologies"
        variations:
          - "Formulated, presented and documented a forecasting methodology for BC Cancer to use for budget and infrastructure planning that was approved by leadership and the BC Ministry of Health"
          - "Created long-term demand projections for critical cancer treatments and infrastructure needs, securing leadership and ministry-level approvals. These forecasts influenced multimillion-dollar capital planning decisions and ensured the province met future patient demand"
          - "Built forecasting models (e.g., auto ARIMA, other statistical methods) to guide strategic planning. Translated technical forecasts into clear narratives for executives, ensuring evidence-based policy and infrastructure investment decisions"
          - "Devised and secured approval for a new forecasting methodology for infrastructure planning, contributing to more accurate resource allocation and securing over $1B in funding"

      - headline: "Led analytics team for capital planning and infrastructure projects"
        variations:
          - "Led a team of analysts to forecast capital requirements for multiple cancer centre redevelopment projects and expansion initiatives, a collaborative effort between our analytics team and program stakeholders"
          - "Directed an analyst team in forecasting capital needs for cancer center redevelopment, collaborating with key stakeholders"
          - "Led a team of two analysts in forecasting capital requirements for cancer center redevelopment projects, collaborating closely with program stakeholders"
          - "Led a team of analysts in forecasting capital requirements for multiple cancer center redevelopment projects, securing over $1B in funding"

      - headline: "Implemented healthcare optimization and ML models"
        variations:
          - "Designed and implemented an integer programming optimization model in GAMS to inform the deployment order for a new clinical information system across BC Cancer centres"
          - "Developed supervised machine learning models for predicting PET scan times, identifying and addressing clinical bottlenecks"
          - "Created supervised machine learning models to predict PET scan times, identifying clinical bottlenecks and improving patient throughput"
          - "Developed and implemented constraint programming and integer programming models using CPLEX and GAMS for chemotherapy patient scheduling and clinical information system deployment"

      - headline: "Led COVID-19 PPE supply chain modeling"
        variations:
          - "Designed supply and demand models forecasting PPE inventory requirements at the onset of the COVID-19 pandemic to assist decisions made by supply chain colleagues"
          - "Engineered models to forecast PPE inventory requirements at the onset of COVID-19, supporting critical supply chain decisions"
          - "Engineered models to forecast PPE inventory requirements during COVID-19, supporting critical supply chain decisions"
          - "Engineered models to forecast PPE inventory requirements during COVID-19 and projected demand for services, aiding in critical supply chain and infrastructure decisions"

      - headline: "Automated data processes and reporting"
        variations:
          - "Programmed R, Python and SQL scripts to automate common data requests, leveraging data science packages such as tidyverse, NumPy and Pandas"
          - "Collaborated with the cancer surgery program by producing reports using data from the a surgical patient registry"
          - "Automated data requests by developing scripts in R, Python, and SQL, reducing data retrieval time and enabling faster decision-making"
          - "Automated complex data workflows using Python, R, and SQL to expedite analyses and reduce manual effort"
  - company: "Health Authority"
    title: "Operations Research Project Analyst"
    dates: "2016-2017"
    bullets:
      - headline: "Led radiation therapy scheduling optimization initiatives"
        variations:
          - "Led the design and development of a GAMS optimization model for radiation therapy scheduling that improved patient satisfaction of appointment time bookings"
          - "Led the design and development of a radiation therapy scheduling optimization model, achieving a 10% increase in patient appointment time preferences met"
          - "Designed and developed optimization models for radiation therapy scheduling, improving patient appointment satisfaction and resource utilization"
          - "Developed optimization models for radiation therapy scheduling, improving patient appointment satisfaction and resource utilization"
          - "Designed and developed optimization models for radiation therapy scheduling, improving patient appointment satisfaction by 10%"
          - "Designed and validated optimization and simulation models for radiation therapy scheduling. Improved patient satisfaction by enhancing alignment between resource availability and appointment time preferences"

      - headline: "Developed and validated simulation models for scheduling analysis"
        variations:
          - "Programmed and validated a simulation model that tested the performance of different scheduling heuristics and optimization scheduling models for radiation therapy treatment"
          - "Developed and validated a simulation model to assess various scheduling policies for radiation therapy, comparing heuristics and optimization models"
          - "Programmed and validated simulation models to test the performance of different scheduling heuristics and optimization models, enhancing operational efficiency"
          - "Programmed and validated simulation models to test the performance of different scheduling heuristics and optimization methods"
          - "Programmed and validated simulation models to assess scheduling policies for radiation therapy, enhancing operational efficiency"
          - "Tested alternative scheduling policies using simulation, informing clinical teams about operational trade-offs and potential efficiency gains"

      - headline: "Maintained production decision support systems"
        variations:
          - "Performed maintenance on decision support applications currently in production for clinical stability"
  - company: "ABC Consulting"
    title: "Project Analyst"
    dates: "2016"
    bullets:
      - headline: "Led mining operations optimization project"
        variations:
          - "Collaborated with mining experts to improve the productivity of their gold mine"
          - "Identified bottlenecks within the haul truck transport operations using co-ordinates data of the trucks"
          - "Designed a staggered employee shift schedule that could increase production by 1.2M tonnes annually"

      - headline: "Developed technical documentation and analysis tools"
        variations:
          - "Produced SQL scripts for the client to reproduce the analysis in the future"
          - "Authored an extensive technical report to highlight the team's findings and recommendations"
  - company: "Food Manufacturer"
    title: "Operations Research Analyst"
    dates: "2014-2015"
    bullets:
      - headline: "Developed automated shipment optimization solution"
        variations:
          - "Researched, designed and implemented a tabu search heuristic to solve an optimization model that automated the weekly process of packing 300+ US customer orders into trucks and scheduling delivery appointment times at minimum cost"
          - "Innovatively applied a tabu search heuristic to automatically optimize the packing and scheduling of 300+ US customer orders weekly, significantly reducing costs"
          - "Implemented a tabu search heuristic to automate the weekly packing and scheduling of over 300 U.S. customer orders into trucks, reducing costs and manual planning efforts"
          - "Created a tabu search heuristic to automate packing and scheduling of over 300 weekly U.S. customer orders, minimizing transportation costs and manual planning effort"

      - headline: "Led stakeholder consultation and process analysis"
        variations:
          - "Consulted with transportation experts to understand how the shipment load plan for trucks was manually completed"
          - "Engaged with stakeholders to analyze the manual shipment load planning, laying the groundwork for optimization solutions"
          - "Consulted with transportation experts to understand and improve manual shipment load planning processes"

      - headline: "Automated operational reporting"
        variations:
          - "Automated reports for operations managers to monitor the utilization of production lines"
          - "Automated operational reports for managers using Excel VBA and SQL"
  - company: "Government Agency"
    title: "Research Analyst (Co-op)"
    dates: "Earlier Position"
    bullets:
      - headline: "Developed military training optimization solution"
        variations:
          - "Developed and programmed a genetic algorithm to solve an optimization model in MATLAB for allocating training devices at offices and scheduling training"
          - "Formulated and programmed a genetic algorithm for optimizing training device allocation and training scheduling at multiple offices"

      - headline: "Created technical documentation"
        variations:
          - "Documented all relevant information for further team research"
technical_skills:
  - category: "Programming & Data Analytics"
    skills:
      - "Python"
      - "R"
      - "SQL"
      - "Java"
      - "C++"
      - "MATLAB"
      - "Excel VBA"

  - category: "Machine Learning & Causal Inference"
    skills:
      - "scikit-learn"
      - "PyTorch"
      - "DoWhy"
      - "econml"
      - "pandas"
      - "NumPy"

  - category: "Optimization & Complex Modeling"
    skills:
      - "Gurobi"
      - "CPLEX"
      - "GAMS"
      - "Google OR-Tools"
      - "IBM Optimization Studio"

  - category: "Simulation Software"
    skills:
      - "Arena"
      - "@RISK"
      - "Simio"

  - category: "Data Visualization"
    skills:
      - "Tableau"
      - "Power BI"
      - "matplotlib"
      - "seaborn"

  - category: "Cloud & Development Tools"
    skills:
      - "Microsoft Azure Machine Learning"
      - "Git"