EXCEEDS logo
Exceeds
Wael Halabi

PROFILE

Wael Halabi

Wael Halabi developed a data quality improvement feature for the CityofToronto/bdit_data-sources repository, focusing on flows data classification. He implemented a SQL script that updates the includes_contraflow flag in the flows_unfiltered table, classifying each site and direction as TRUE or FALSE based on the presence of single or multiple flows. This approach remediated all NULL values according to defined rules, ensuring consistent and reliable downstream analysis. By leveraging SQL scripting and database management skills, Wael enhanced data integrity within the ecocounter database, reducing the need for manual data wrangling and supporting more accurate business intelligence reporting.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
15
Activity Months1

Your Network

6 people

Work History

December 2025

1 Commits • 1 Features

Dec 1, 2025

December 2025 monthly summary for CityofToronto/bdit_data-sources focusing on data quality improvements and feature delivery related to flows classification.

Activity

Loading activity data...

Quality Metrics

Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

SQL

Technical Skills

SQL scriptingdatabase management

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

CityofToronto/bdit_data-sources

Dec 2025 Dec 2025
1 Month active

Languages Used

SQL

Technical Skills

SQL scriptingdatabase management

Generated by Exceeds AIThis report is designed for sharing and indexing