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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" | |