Renee Premdas

Background

About Renee Premdas

An analytical and result driven business professional with 6+ years of back office experience in Canadian banking operations (Home Equity Closing Center, Automotive Finance Fulfilment, and Business Insurance Claims) and custodian banking for institutional investors. I have a Bachelor of Business Administration from the Goodman School of Business, Brock University, and recently completed a Post Graduate Certificate in Data Analytics from Durham College with a 4.71/5.0 GPA. Upon completing the program, I have developed strong technical skills in Python, SQL, R, and data storytelling by creating dashboards/data visualizations with Power BI and Tableau. The ability to leverage my strong business acumen to communicate technical data analysis to nontechnical users will be an asset your organization. Experience in following algorithms: Support Vector Machines, K-NN, K Means, Naïve Bayes, Decision Tree’s, Ensemble Models, Linear and Logistical Regression Models, Regularization, LDA/QDA Neural Networks, and Time Series Analysis Past Projects- Developing a Cancer Pre-Screening Diagnosis for TNM Stage 1 Cancer for the Princess Margret Hospital (Cancer Clinical Research Unit)- Redesigning an Airline’s existing KPI dashboard to better achieve stakeholder objectives by defining KPI’s/metrics that provide greater depth and functionality to analyze current performance to scorecard - Created an interactive dashboard in Power BI that analyzed and forecasted the crime rates for Canadian provinces to assist the RCMP with strategic decision making - Developed a data plan for the NBA to install new video tracking technology that will generate 3D spatial data in all 30 arenas of the NBA. The plan consisted of a data collection plan, data technology plan, data impact analysis, and a future data roadmap - Built a multivariate statistical model in R to explain the relationship between smoking and expense's