Autumn Teo

Autumn Teo

Data Analytics & Engineering Intern

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  • Timeline

  • About me

    Data Engineer

  • Education

    • Singapore Management University

      2018 - 2022
      Bachelor of Science (Information System) Major in Business Analytics & Software Development Summa Cum Laude

      Achievements:• GPA: 3.92 • Dean’s List: AY 18/19, 19/20 & 21/22. • SMU Aspirations Scholarship – Awarded for good academic and character record

    • Singapore Management University

      2021 - 2022
      Master of Science - MS Computing Magna Cum Laude

      Achievements:• GPA: 3.78• SMU SCIS Local Fast-Track Scholarship – Awarded to 2 people for academic excellence

  • Experience

    • Monetary Authority of Singapore (MAS)

      Jun 2020 - Jan 2021
      Data Analytics & Engineering Intern

      • Improved workflow efficiency by 70% by developing Natural Language Processing scripts to automatically perform automatic semantic role labelling.• Ensured smooth and efficient knowledge transfer by writing documentation.• Contributed to the Django Project by developing Topic Modelling features and unit tests

    • Sentient.io

      Feb 2021 - Apr 2021
      Science Intern

      • Streamlined workflow by 30% by developing a Jenkins pipeline on Google Cloud Platform.• Enhanced efficiency by deploying a Google Sheets script to automatically trigger downstream Jenkins jobs.

    • Singtel

      May 2021 - Aug 2021
      Data Engineering (Shine) Intern

      • Coordinated and led my team to 2nd Runners up in Singtel’s Lit Challenge.• Increased workflow efficiency by 20% by automating data migration from HDFS to Ceph.• Enriched user experience by automating the removal of all terminated pods within the Kubernetes cluster.• Researched the viability of implementing Thanos, Granfana and Prometheus• Created Spark jobs to check for match between database and batch data

    • Rakuten Viki

      Jun 2022 - now
      Data Engineer

      • Increased data reliability and stakeholder satisfaction by 25% by improving Airflow task scheduling reliability • Developed new functionality to enhance ETL batch processing Data Ingestion, improving operational efficiency & reducing manual workload by 40%.• Reduced costs for AWS EMR service by 60% by optimising infrastructure provisioning & auto-scaling. • Designed and developed real-time Spark streaming pipelines, handling peak rates of 10k messages/sec • Improved operational efficiency, monitoring & alerting by 50% through Cloudwatch & PD Alarms• Recipient of quarterly award for demonstrating pro-activeness in improving processes and exceeding expectations.• Became sole owner of ad revenue Data Ingestion & held deep-dive knowledge sharing session on how ad revenue data is ingested from various sources (APIs, s3, GCS, Emails) in various formats Show less

  • Licenses & Certifications