Danish Siddiqui - Data Scientist

Catholic Crosscultural Services | June 2023 - Present

Scarborough Newcomer Settlement Collective Project (SNSC) | RStudio, PowerBI, RedCap

Led data management for SNSC project with CCS. Orchestrated survey data extraction, cleaning, and filtering for accuracy. Developed engaging PowerBI and Tableau dashboards to visualize Statistics Canada Employment data, illustrating challenges of Toronto newcomers.
Transformed data for improved analysis efficiency. Created impactful RStudio visualizations to communicate trends in newcomer and immigrant needs, aiding stakeholder understanding.

University of Toronto | September 2023 - December 2023

Service Delivery Data Hub (SDDH) Project | Jupyter Notebook, CSV, JSON, Python

Established standardized QA procedures to ensure data accuracy and integrity in the NIC platform within the SDDH project.
Advocated for migrating to JSON format to enhance data management, storage, retrieval methods, and analytical compatibility. Improved code quality by implementing linting practices and transitioning code elements to standardized camelCase format.

University of Toronto | June 2023 - September 2023

Registrar’s Office Admissions Project | Python, Flask, Javascript, RStudio

Spearheaded the establishment and implementation of standardized QA procedures for data accuracy in the NIC platform within the SDDH project.
Advocated for technology migration to JSON format over CSV, optimizing data management, storage, retrieval methods, and compatibility for various analytical requirements. Improved code quality by implementing linting practices and transitioning code elements to standardized camelCase format.

University of Toronto | September 2022 - June 2023

The BRIDGE Finance Lab | Python, SQL

Developed comprehensive Python scripts for a 4-Part Data Analytics Series; generated numerous helper functions to collect data from an API which was later exported to a csv for further analysis.
Led an introductory SQL workshop, delivered to 25+ participants. Various databases were accessed through an online API, pertaining to the FIFA World Cup, to teach data cleaning and management.