Data Scientist

• Aug 2020 - Present

Junior Data Scientist

• Jul 2019 - Aug 2020

• Compiled and stored point of sales data for over 1800 stores on AWS Redshift to identify employee theft and helped standardized the configuration of point sale systemso Developed multiple KPI’s for employee theft to allow upper management to implement security measures at all company storeso Created an enterprise level report in Power BI which was used to analyze datao Developed an infractions algorithm for Internal Audit stakeholders to identify employee thefto Insights generated from reports had cost savings opportunities of over $200,000 per month • Utilized Amazon Text Extract to read employee expenses and identify employees that are fraudulently billing their expenses • Designed and developed database to feed into a RShiny dashboard that displays daily revenue across 2000 stores to montior sales trends Show less

Data Analyst

• Oct 2018 - May 2019

• Developed a process mining model using RShiny to identify key operational metrics regarding congestion in regional hospitals in Ontario • Identified cost saving opportunities of $50,000 by collecting and storing real-time financial data regarding bed management into a database • Designed dashboards using Power BI to visualize and identify trends of operational metrics and communicated findings to senior stakeholders • Developed a process mining model using RShiny to identify key operational metrics regarding congestion in regional hospitals in Ontario • Identified cost saving opportunities of $50,000 by collecting and storing real-time financial data regarding bed management into a database • Designed dashboards using Power BI to visualize and identify trends of operational metrics and communicated findings to senior stakeholders

Data Analyst

• Mar 2017 - Oct 2018

• Identified maintenance and performance KPIs for a Wind Turbine manufacturer • Developed a preventative maintenance model that predicts catastrophic failure worth $100,000 using sensor data • Pre-processed data by detecting outliers and performing feature selection/extraction algorithms • Implemented a LSTM algorithm using the keras library on pre-processed data • Performed text mining on comments in field service to identify insights and to create a standardized way of work across multiple locations in North America • Text mining performed using the LDA topic modeling algorithm from tidyr library • Identified gaps in business process across Engineering, Supply Chain and Field Services • Re-engineered cross-functional business process client by creating a data culture and presented findings to stakeholders across all functions of the organization Show less

Graduate Student

• May 2015 - Feb 2018

• Computationally analyzed over 10 TB of RNA-seq data in various human tissues to identify the role of Mobile elements in the human transcriptome • Mapped RNA-Seq reads to the genome and identified and calculated the differential expression of Mobile elements in different tissues • Communicated results at conferences and published one research articles • Computationally analyzed over 10 TB of RNA-seq data in various human tissues to identify the role of Mobile elements in the human transcriptome • Mapped RNA-Seq reads to the genome and identified and calculated the differential expression of Mobile elements in different tissues • Communicated results at conferences and published one research articles

Thesis Student

• Sep 2012 - May 2013

• Studied the effects of a cell cycle transcription factor on Acute Myeloid Leukemia (AML) • Successfully infected a cancerous mouse cell line using short hair pin RNA (shRNA) and analyzed the effects on cell growth • Studied the effects of a cell cycle transcription factor on Acute Myeloid Leukemia (AML) • Successfully infected a cancerous mouse cell line using short hair pin RNA (shRNA) and analyzed the effects on cell growth