EDUCATION:
​
Hon. B.Sc. Degree, University of Toronto, Toronto, Canada
Major: - Computer Science

Major: - Statistics

SAS Certified Base Programmer for SAS 9                  SAS Institute

SAS Certified Advanced Programmer for SAS 9       SAS Institute

SAS Certified Statistical  Business Analyst using  SAS 9 : Regression and Modeling       
SAS Institute

SAS Certified Clinical trials Programmer using  SAS 9   SAS Institute
​WORK EXPERIENCE:

​Business &  Information Analyst– Central Agencies I&IT Cluster, Architecture, IM and PMO Branch, Treasury Board Secretariat Toronto, Ontario

SAS, R and SQL Programmer Analyst– Sunnybrook Research Institute, Sunnybrook Hospital, Toronto, Ontario,

SAS Programmer – Manulife Financial Asset Management, Global Operations and Data, Toronto, Ontario

SAS Database Programmer – Ontario Child Abuse and Neglect Data System (OCANDS), Faculty of Social Work, University of Toronto, Toronto, Ontario
TECHNICAL SKILLS:


Programming Languages:
  • Python
  • Spark
  • SAS             
  • R
  • SQL
  • Java
  • C
  • C++
  • Pascal
  • Matlab
  • Prolog
  • Scheme
  • HTML
  •  CSS
  • PHP
  • JDBC
  • XML
  • XQuery
  • XPath             
Environments:
  • IBM Watson Studio
  • IBM Watson Knowledge Studio
  • IBM Watson Assistant
  • IBM Natural Language Understanding
  • IBM Natural Language Classifier
  • AI Fairness 360
  • R Studio
  • Microsoft Azure
  • Microsoft SQL Server Management Studio
  • SAS Enterprise Guide 4.3 on SAS v9.3, Eclipse                                 

​Python Libraries: 
  • Pandas 
  • Pyspark
  • Fuzzywuzzy
  • NLTK
  • ​Wordcloud
  • NetworkX
  • Scikit-Learn
  • Numpy
  • Matplotlib
  • Seaborn'
  • Folium
  • GeoPandas
  • ​GeoJSON
 
SUMMARY OF SAS SKILLS:

  •  Advanced and Base SAS Certified Programmer for SAS9.

  •  Experience in SAS/BASE, SAS/MACRO, SAS/SQL and SAS/STAT in the Windows environment. 

  • Used SAS Enterprise Guide 4.3 on SAS v9.3 to modify existing Base SAS programs and SAS macros and to develop new SAS code of varying complexities

  • Strong skills in writing advanced PROC SQL queries that contained correlated and non-correlated sub-queries, complex horizontal and vertical table joins and calculated fields.

  •  Extensive experience using the DATA Step to combine tables by using techniques such as one-to-one merging, concatenating, appending, interleaving and match-merging. 

  •  Extensive experience using PROC SQL to combine tables horizontally using Cartesian Product, Inner Join, Left Outer Join, Right Outer Join and Full Outer Join.

  •  Extensive experience using PROC SQL to combine tables vertically using Except, Intersect, Union and Outer Union and the keywords ALL and CORR to modify the default behavior of set operators.

  •  Experienced in using SAS procedures such as PROC SQL, PROC PRINT, PROC SORT, PROC MEANS, PROC FREQ, PROC DATASETS and PROC REG for creating customized reports and performing data analysis.

  • In-depth knowledge of the use of SAS ODS for creating HTML, Listing, PDF and RFT output.

  • Tremendous experience using SAS functions, procedures and macros for Data Cleansing, Data Analysis, Statistical Analysis, importing data and creating reports.  

  •  Extensive experience in creating SAS datasets from raw data files, existing SAS datasets, excel files and instream data using Column Input, Formatted Input, List Input and Modified List Input. 

  • Effectively reduced coding time by writing complex SAS Macros for the purpose of creating more modular, reusable and simplified SAS code.

  • Documented, tested and validated all SAS code in a consistent and efficient fashion to ensure that all coding standards were adhered to.

  • Experienced in using SAS System options to control output, validate data and check for syntax and logical errors in the log.


​SAS Tools: Base, SQL, Macro, STAT

Office Tools: MS Word, MS Access, MS Excel, MS PowerPoint