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Natashya Tiro

Natashya Tiro

Business Analyics Graduate Student at NTU
Boon Lay

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About Natashya Tiro:

I am currently a graduate student at Nanyang Technological University pursing MSc in Business Analytics. I am interested in Data and Business Analytics field and am seeking exciting opportunities related to it.

Experience

GIC (Business Solutions Analyst Intern - Portfolio Execution Group) March – May 2023 

  • Conducted data cleaning, wrangling, and analysis of 4 database with more than 100 million transactional data points using MS SQL and visualize it using Tableau to help executive management understand, monitor, and make effective decision accurately. 
  • Developed and implemented continuous analysis mechanism for detecting anomalies in transactional data which considers more than 10 factors resulting in timely identification and resolution of anomalies. 
  • Built a counterparty profile dashboard that enables management to navigate through 300 counterparty profiles, ranks, and performances, which streamline management response to counterparty from 1 working day to less than 1 hour. 
  • Contributed to the department long-term roadmap of providing predictive data service by providing PoC that integrates predictive model from Python and visualize it to Tableau using Tabpy resulting in real-time continuous analysis. 

Ernst & Young (Junior Technology Consultant - Data Analytics Division) March – June 2022 

  • Leveraged data & technology to support senior team members in developing innovative solutions to address clients’ challenges. 
  • Conducted comprehensive analyses of business processes and transformations, performed architectural assessments of more than 10 systems, and executed gap analyses, leading to the development of effective solution strategies and roadmaps for 7 streams. 
  • Lead the Knowledge Transfer stream to assist the client in building and socializing 10 modules to more than 300 client’s employees. 
  • Engaged with cross-functionals team and communicating project goals and progress to stakeholders weekly, resulting in the timely delivery of solutions that met client expectations

Education

MSc in Business Analytics (NTU):

  • July 2022- January 2024 (Expected) 
  • MSC in Business Analytics (CGPA: 4.92/5.00) 
  • Relevant Courses: AI & Big Data in Business, Machine Learning in Business, Advanced Database Management, Analytics Strategy. 

B.Sc. in Industrial Engineering (University of Surabaya)

  • July 2018- December 2021 
  • Bachelor of Science in Industrial Engineering (CGPA: 4.00/4.00, Concentration: Supply Chain Management)

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