About Me

Experience & Info

Data Science graduate with 3+ years of experience executing data-driven solutions to enhance efficiency, accuracy, and data processing.

Skilled in building data regression models, predictive modeling, and analyzing data mining algorithms to deliver insights and solutions for complex business problems. Proficient in Machine Learning, Data Visualization, and Statistical Analysis.

Work Experience

Mizuho Bank

Analyst (Dec 2023-Present)
  • Led comprehensive analysis of daily derivatives transaction tasks (Futures, SwapClear Dealer, Futures Commission Merchant, Banking & Trading)
  • Leveraged Tableau: visualized and interpreted department transaction volumes, unveiling trends and patterns critical for strategic decision-making.
  • Demonstrated proficiency in Python: automated data extraction processes, enhancing operational efficiency and data integrity
  • Conducted reconciliation tasks for margin reporting and monthly-end reports, ensuring data consistency and adherence to reporting standards.

ABB Ltd

Data Science & Machine Learning Intern (Jul 2021-Jan 2022)
  • Spearheaded a new initiative in condition monitoring and predictive maintenance for industrial machinery.
  • Conducted research on smart sensor data, predicting anomalies in motor parts (e.g., engines/pumps), employing Unsupervised Anomaly Detection (e.g., Local Outlier Factor, Isolation Forest, and one-class SVM)
  • Identified crucial features contributing to anomalies, including Motor Speed, with an established key threshold value (e.g., Speed > 1000 Revolutions Per Minute)
  • Translated research findings into actionable results, leading to the implementation of a business rule with a specified threshold (e.g., Speed > 1000 RPM) as an early indicator of anomalies.
  • Represented company as the main speaker for NUS university career seminar talk with 30+ attendees.

Cengage Learning Asia

IT Admin Assistant (Jun 2021-Jul 2021)
  • Executed data migration of educational materials, ensuring data accuracy and integrity.

Ernst & Young Global Limited (EY)

Admin Assistant (Apr 2019-Jun 2019)
  • Contributed to the audit financial services team, providing comprehensive support, including data collection, data cleansing, casting, formatting, and conducting valuation research.
  • Maximised accuracy for statutory review, actively assisting auditors in analysing numerous files and financial statements for clients.

Education

SIM GE - University of London

Data Science & Business Analytics (2019-2022)
Relevant courses:
  • Machine learning
  • Programming for Data Science
  • Advanced Statistics
  • Elements of econometrics
  • Statistical Methods for Market Research
  • Business analytics, applied modelling and prediction

Tampines Junior College

GCE A-Level (2016-2018)
  • Dean's List 2018
  • Leadership Positions: Civics Chairperson, Orientation Group Leader, Project Work Group Leader,
    Band Section Leader & First-Aider
  • Competitions: 2016 & 2018 Singapore Youth Festival

Zhonghua Secondary School

GCE O-Levels (2012-2015)
  • Leadership Positions: Band Exco - Staff Sergeant, Quartermaster, Section Leader
  • Competitions: 2012 & 2014 Singapore Youth Festival, 2013 & 2015 National Band Competition

Achievements

  • FairPrice Group (FPG) FIT Hack :
    Top 10 Finalist (Top 10%)
    Pitched to relevant professionals, including Minister, Mr Masagos, & Member of Parliament, Mr Seah Kian Peng
  • Participated in MLDA DLW Hackathon 2021 :
    Developed an industrially sustainable solution via computer vision techniques in a group of 3
  • TPJC Dean's List 2018
  • Edusave Award for Achievement, Good Leadership and Service (EAGLES) 2015
  • Buddhist Lodge Education Foundation Bursary 2015
  • National Youth Achievement Award (NYAA) (Bronze) 2014