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Work Experience
Data Engineer
Embassy of Indonesia Doha• September 2022 - January 2023
- Led a team of four as the Embassy's Data Counsellor. The main task was handling, cleaning, and ensuring the accuracy of data related to Indonesian citizens living in Qatar. This data preparation was crucial for its use in the upcoming 2024 presidential and parliamentary elections. - Redesigned methods by establishing stricter verification steps and standardized data cleaning techniques, cross-referencing multiple sources, to ensure data accuracy. -Eight thousand out of twelve thousand records were successfully validated for use by the General Elections Commission. This represented a 30% increase compared to previous cycles which shows a significant improvement on both the quantity and reliability of the data.
Transportation Supervisor
FIFA• November 2021 - April 2022
- Played a key role in the testing and implementation of FIFA's innovative Transportation Management Module (TMM) designed for handling human transportation logistics during the successful Qatar World Cup 2022. - The primary responsibility encompassed data preparation, migration, cleaning, and ongoing maintenance within this new system. Upon the successful implementation of data, the software was then utilised to schedule transportation arrangements for all FIFA stakeholders. - Took on a dual role as a mentor and innovator, guiding the team in centralizing our systems. Introduced strategies to facilitate the seamless use of both the traditional system and the new TMM software, ensuring a smooth transition and effective utilization of both platforms.
Data Scientist
South Lakes Housing• June 2021 - September 2021
- Joined the company as its inaugural data scientist with a primary focus on enhancing their data strategy to optimise the Extract, Transform, Load (ETL) process. - Proposed and implemented a refined data strategy emphasising on data integrity, resulting in a notable improvement in the effectiveness of the ETL process. - Using predictive analysis techniques, conducted forecasts for house repair demands. This not only showcased the practical application of clean data and data science but also illustrated the tangible benefits these methodologies bring to the company.
Education
University of Lancaster
Data Science, MS• September 2020 - December 2022
University of Lancaster
Computer Science, BS• January 2017 - December 2019
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