Using Python with Network Analysis to understand corruption in government procurement

Albert 'bash' Yumol

Albert 'bash' Yumol

icon-location R1
icon-language English talk
icon-datetime Day 1 • 13:05-13:35
icon-level Novice
icon-category Data Analysis


    Processing and analyzing procurement data is one method to characterize government transactions, identify gaps, gatekeep from anomalies and aid in regulations. The move of the Philippine government to open procurement data is a huge step for transparency and for the public to be involved in citizen data science actively promoting social responsibilities. This talk will show how Python and data science methodologies can be used for social good and impact.



    Albert 'bash' Yumol

    $bash is a machine learning engineer and a data solutions practitioner based in the Philippines promoting data driven and evidence based solutions to various industries and companies. He has 8++ years experience with Data Science with Python both in academic research and industry applications. He is an advocate for using technology to promote social development and nationalism and also teaches data science and its applications focusing on human centered design and data ethics.