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Aditya Gulati

Toronto, ON, Canada

GIS Portfolio - https://storymaps.arcgis.com/collections/1a1a1abb90a44a4fb1c9864695b08dd3

GIS Analyst | ArcGIS Pro · Google Earth Engine Toronto, ON
Climate Resilient Communities Apr 2024 - Present
● Evaluated the climate change impacts on hospital access in Toronto, and employed ArcGIS Pro's Network Analysis to
identify areas with 60+ minute travel times and nearest emergency facilities, highlighting the need for better transportation
or more hospitals.
● Created a Climate Story Map using the Google Earth Engine API to visualize and communicate the impact of climate
change on specific city locations and their significance.
Data Analyst | Salesforce · Python · Excel Toronto, ON
Openlane Oct 2022 - Mar 2024
● Improved data quality of the ownership dataset from 80% to 95% using pandas and numpy for quality assessment and
machine learning algorithms (regression, KNN) for filling in missing values, ensuring reliable data for analysis.
● Resolved inaccuracies in ambiguous car ownership records using Salesforce and reported them to different departments
using Excel data validation and conditional formatting tools, maintaining over 90% data accuracy for reliable analysis.
● Managed ownership datasets for two major clients, improving customer service and contributing to over 30% business
growth with these clients for the company.
Course Coordinator and Teacher Assistant | Advance Excel · R · Power BI Toronto, ON
University of Toronto | THE BRIDGE| MAccFin Program Sep 2021 - Aug 2022
● Created 20 video tutorials on Spreadsheet Applications topics, encompassing Data Validation and VBA, as part of an
Intermediate Excel training program at The BRIDGE research initiative. These tutorials were crafted to enhance
management students’ data literacy and skill sets for their future responsibilities
● Developed 10 class presentations on Excel for data manipulation and Power BI for data visualization in the MAccFin
Program, resulting in 90% of students successfully presenting their final projects.
● Designed an R script to automate grade verification across five class sections in the MAccFin Program, employing database
design principles and achieving 98% accuracy while reducing grading time by 85%.
RELEVANT PROJECTS
Hypothesis Testing with Men's and Women's Soccer Matches | Python· Pandas| (link) Sept 2024
● Conducted a MWU Test comparing goal counts in women's and men's soccer, rejecting the hypothesis of higher
mean scores in women's matches at a 0.05 significance level
Calculating impervious surfaces | ArcGIS Pro ·Machine Learning| (link) Aug 2024
● Classified aerial photos based on land use to determine the extent of impervious surfaces per land parcel using Supervised
Classification with the Support Vector Machine (SVM) algorithm.
Identifying popular places within a City | ArcGIS Pro| (link) Aug 2024
● Applied Spatial and Temporal Clustering in ArcGIS Pro to analyze a spatiotemporal dataset, identifying the top 3
most popular San Francisco Bay Area locations.

Aditya Gulati

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