• Analyzing staffing data using scikit-learn in Python to stratifying by variables like age, sex, etc.; applied multivariable survival model to identify the best risk predictors.• Clustering hires and external turnovers over the past 5 years using Python; presented 10 identified personas to inform planning strategies and increase retention.• Predicting staffing changes in advance using machine learning algorithms in Databricks on MS Azure.

• Working directly with clinical staff and senior management to scope and intake requests. • Writing customized SQL queries to pull data and then drawing insights using Excel, R, and Python etc.; creating slide decks and presenting them to all levels of staff and management.• Troubleshooting and understanding data discrepancies in SQL while completing ad hoc data requests. • Self-developed and implemented a ‘Heat Map’ analytical product which communicates period-level changes for several indicators (i.e. OT, sick rate, HPPD) each period for the CEO of VCH.• Informing operational decision-making by programming R scripts to extract data from servers (i.e. SQL with RODBC), perform data manipulation, and create Excel workbooks to track ALC/LLOS patient statuses

• Started a healthcare analytics company; managing subcontractors. • Providing technical expertise to extract pathology clinical data and summarize it; findings are concisely communicated to a range of stakeholders, including the Ministry of Health, to help guide long-term strategic and short-term operational goals.• Writing SQL queries and stored procedures to develop the data warehouse infrastructure. • Scoping requirements with physicians and then computing key performance indicators to identify outliers.

• Developed a new asset-allocation directive for client to process its customers at the same throughput while occupying less space; this operational improvement will generate considerable revenue for the client, since more capacity can be added at peak times.• Successfully designed, coordinated, and analyzed trials that demonstrated how altering stanchions and strategic employee positioning in a company could increase equipment uptake rates from 20% up to 80%.

• Designed methods to fabricate a novel microscale endoscope to detect alveolar cancer in vivo. • Saved the lab approximately $30,000 on a single device alone by assembling individual components costing 1/10 the price to create a device which met all desired specifications.

• Published paper in Advanced Healthcare Materials of a functional therapeutic drug delivery platform allowing improved temporal and spatial delivery of therapeutics for cardiovascular applications. • Performed one-way ANOVA with post-hoc Tukey’s testing on all data obtained from performing in vitrobiocompatibility studies on fiber mats with cultured mammalian cells.