NUS Master's candidate (Data and Communication specialisation) graduating Jun 2026, building on a First Class Honours BSc in Data Science & Business Analytics from LSE. Over two years of data analytics experience across financial services (payments and banking), using SQL, Python, and BI tools to deliver dashboards, automated reporting workflows, and transaction-data insights that informed pricing, partnership, and campaign decisions for senior stakeholders.
Jason Joseph Tjiadi
Data Analyst Intern | KPay Merchant Service (Singapore) Pte. Ltd.
Singapore
Summary
Education
National University of Singapore Master of Communication, Data and Communication Specialisation Grade : GPA: 4.4/5.0 Aug 2025 - Jun 2026'%3e%3crect%20width='48'%20height='48'%20rx='4'%20fill='%23E6E3F9'/%3e%3crect%20width='0.6'%20height='10'%20transform='matrix(-1%200%200%201%2042.3999%2024)'%20fill='%2367E2F2'/%3e%3cpath%20d='M44%2036C44%2037.1046%2043.1046%2038%2042%2038C40.8954%2038%2040%2037.1046%2040%2036C40%2034.8954%2040.8954%2034%2042%2034C43.1046%2034%2044%2034.8954%2044%2036Z'%20fill='url(%23paint0_linear_2586_8632)'/%3e%3cpath%20d='M42%2036L43.7321%2042H40.2679L42%2036Z'%20fill='url(%23paint1_linear_2586_8632)'/%3e%3crect%20x='-12'%20y='21.5'%20width='48'%20height='32'%20rx='2'%20fill='%236754C8'/%3e%3cpath%20d='M15.5493%2010.4661C16.1408%2010.1135%2016.8721%2010.0901%2017.485%2010.4041L41.5254%2022.72C42.9762%2023.4632%2042.9762%2025.5368%2041.5254%2026.28L17.485%2038.5959C16.8721%2038.9099%2016.1408%2038.8865%2015.5493%2038.5339L-5.11706%2026.2181C-6.41859%2025.4424%20-6.41859%2023.5576%20-5.11706%2022.7819L15.5493%2010.4661Z'%20fill='url(%23paint2_linear_2586_8632)'/%3e%3ccircle%20cx='31.9247'%20cy='24.1795'%20r='1.5'%20transform='rotate(-3.37875%2031.9247%2024.1795)'%20fill='white'/%3e%3ccircle%20cx='23.5357'%20cy='27.282'%20r='1.5'%20transform='rotate(-3.37875%2023.5357%2027.282)'%20fill='white'/%3e%3c/g%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_2586_8632'%20x1='38.0748'%20y1='42'%20x2='47.3606'%20y2='39.6343'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20offset='0.0781'%20stop-color='%239685F4'/%3e%3cstop%20offset='1'%20stop-color='%2367E2F2'/%3e%3c/linearGradient%3e%3clinearGradient%20id='paint1_linear_2586_8632'%20x1='38.0748'%20y1='42'%20x2='47.3606'%20y2='39.6343'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20offset='0.0781'%20stop-color='%239685F4'/%3e%3cstop%20offset='1'%20stop-color='%2367E2F2'/%3e%3c/linearGradient%3e%3clinearGradient%20id='paint2_linear_2586_8632'%20x1='-20.7546'%20y1='11.7454'%20x2='57.7546'%20y2='37.2546'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20offset='0.0781'%20stop-color='%239685F4'/%3e%3cstop%20offset='1'%20stop-color='%2367E2F2'/%3e%3c/linearGradient%3e%3cclipPath%20id='clip0_2586_8632'%3e%3crect%20width='48'%20height='48'%20rx='4'%20fill='white'/%3e%3c/clipPath%3e%3c/defs%3e%3c/svg%3e)
London School of Economics (University of London) BSc, Data Science & Business Analytics Grade : First Class Honours; Achiever's Award recipient (2021); Distinction in the CHESS programme. Oct 2020 - Aug 2023
Experience
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Data Analyst Intern KPay Merchant Service (Singapore) Pte. Ltd. Sep 2025 - Mar 2026 • 7 mos
Built dashboards analysing payment data across 10,000+ merchants, giving technical and non-technical stakeholders clear visibility into product usage, revenue performance, and growth trends. Contributed to ~21% average GPV growth and improved net take rate by writing SQL queries for merchant profitability and acquirer-level analysis that informed routing and pricing decisions. Automated recurring reporting pipelines and data workflows and supported a platform data migration, improving the accuracy, reliability, and turnaround of business reporting. Resolved data quality issues across payment and merchant records by cleaning and validating data in Python with fuzzy matching, safeguarding the integrity of business reviews and reporting.
- Data Analyst Intern KPay Merchant Service (Singapore) Pte. Ltd. Sep 2025 - Present • 10 mos
• Built dashboards analysing payment data across 10,000+ merchants, giving technical and non-technical stakeholders clear visibility into product usage, revenue performance, and growth trends. • Contributed to ~21% average GPV growth and improved net take rate by writing SQL queries for merchant profitability and acquirer-level analysis that informed routing and pricing decisions. • Automated recurring reporting pipelines and data workflows and supported a platform data migration, improving the accuracy, reliability, and turnaround of business reporting. • Resolved data quality issues across payment and merchant records by cleaning and validating data in Python with fuzzy matching, safeguarding the integrity of business reviews and reporting.
Skills
- SQLExpert
- SQLExpert
Languages
- EnglishNative speaker
- EnglishNative speaker
Certifications
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