​​​​SAS Programming 1: Essentials                                                                                                                                   2013

  • navigate the SAS windowing environment
  • read various types of data into SAS data sets
  • validate and clean SAS data sets
  • create SAS variables and subset data
  • combine SAS data sets
  • create and enhance listing and summary reports.


SAS Programming 2: Data Manipulation Techniques                                                                                              2014

  • control SAS data set input and output
  • combine SAS data sets
  • summarize, read, and write different types of data
  • perform DO loop and SAS array processing
  • transform character, numeric, and date variables.


Tableau Fundamentals - Virtual Course                                                                                                                     2015

  • Connect to your data and edit and save a data source.
  • Understand Tableau terminology, use the Tableau interface / paradigm to effectively create powerful visualizations.
  • Create basic calculations including string manipulation, basic arithmetic calculations, custom aggregations and ratios, date math, logic statements and quick table calculations.
  • Represent your data using different visualization types.
  • Use Reference Lines to highlight elements of your data.
  • Use groups, bins, hierarchies, sorts, sets, and filters to create focused and effective visualizations.
  • Use Measure Name and Measure Value fields to create visualizations with multiple measures and dimensions.
  • Handle changes in your data source such as field addition, deletion or name changes.
  • Share your visualizations with others.
  • Combine your visualizations into Interactive Dashboards and publish them to the web.



                                                                                        




​​​​​​​​​​Academic and Professional Learning 


Queen's University - Queen's School of Business                                                 
Master of Management Analytics
 
                                                                                                                  2015 - 2016 

  • Introduction to Management 
  • Mathematical Foundations
  • Acquisition and Analysis of Data
  • Big Data
  • Multivariate Statistical Analysis
  • Marketing Analytics
  • Project Leadership
  • High-Performance Teams 
  • Data Privacy
  • Entrepreneurship 
  • Operations and Supply Chain Analytics
  • Analytical Decision-Making
  • Analytics for Financial Markets
  • Pricing Analytics
  • Management of Analytics
  • Text Analytics & Sentiment Analysis 


Carleton University, Ottawa 
Bachelor of Mathematics (Honours), minor in Economics
 
                                                                         
and Co-op experience                                                                                                                                         2007 - 2012

  • Fourth Year Honours thesis - The apprenticeship of Leonardo Davinci, Mathematician







Nishika Kanchani Mampitiya