GIS Data Analyst/Scientist

Jaydeep Mistry

jrmistry.github.io

linkedin.com/in/jaydeep-mistry

adchbz@r.postjobfree.com

Mobile: +1-226-***-****

Toronto, Ontario, Canada

Skills Summary

• Experienced in Python scripting for data management, analytics, visualization, and machine learning

• Experienced in Esri’s ArcGIS products both on desktop (ArcMap, ArcGIS Pro) and online

• Experienced in Geospatial data analytics (GIS) with keen attention to detail and communication Education

Master of Environmental Studies (MES) in Geography, University of Waterloo Sept 2017 – Feb 2020

• Cumulative GPA of 90% from 6 Masters Courses

• Experience with Python & R using Jupyter Notebooks for data visualization and analysis

• Experience with ArcGIS products (ArcMap, ArcGIS Pro, ArcGIS Online, ArcGIS Runtime SDKs)

• Research topic was to understand how government organizations use GitHub for collaboration Teaching Assistant (TA) Sept 2017 – Apr 2018

• Teach two Undergraduate Data Management and Analysis courses using Esri ArcGIS products

• Taken leadership to teach students how to make online dashboards using ArcGIS Online Bachelor of Environmental Studies (BES), University of Waterloo Sept 2012 – Apr 2017

• Major in Geomatics with Honours, Minor in Computer Science

• Diploma of Excellence in Geographic Information Systems (GIS) Work Experience

GIS Data Analyst, Community Maps, Esri Canada Jan 2016 – Apr 2016 Tools: ArcMap, ArcGIS Pro, FME Workbench, ArcGIS Online, Python

• Quality control spatial data from Canadian municipalities for use in Esri Community Basemap

• Extract, Transform, and Load GIS datasets into preferred schemas via automation in FME Junior Land Use Change Analyst, Science & Technology Division, Environment Canada May 2015 – Aug 2015 Tools: VBA, SQL, ArcMap, Microsoft Access, Excel

• Update national Greenhouse Gas emission estimates for peat production for past 50 years

• Use SQL & VBA to automate calculations of Access database of national Peatland Environmental model Extra-Curricular

Club Executive, UW Geospatial Club Jan 2019 – Aug 2019 Tools: Python, Jupyter Notebooks, Pandas, SciKitLearn, Plotly, Kaggle

• Teach Machine Learning for geospatial data as a workshop to 60+ students for using Kaggle platform

• Use the Toronto Police Service’s dataset (Killed or Severely Injured) for the workshops

• Have workshop’s Python kernel get featured on Kaggle’s Machine Learning newsletter Full Stack Developer, Team SpectaculAR, Esri Canada App Challenge 2019 Feb 2019

• Developed an Android app to visualize infrastructure/building developments in Augmented Reality (AR)

• Winner of the Esri Challenge, recognized for tackling sustainable development issues in Canada

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