Stefan T
@stefant
Data Scientist II with expertise in machine learning and fraud detection.
IndonesiaWhat I'm looking for
I am a dedicated Data Scientist II with a strong background in developing advanced machine learning models and algorithms. Currently, I work at Traveloka, where I have successfully developed a Paylater Transaction Scoring system that screens over 3 million applications annually, significantly reducing potential fraud by $600k and generating an additional $300k in revenue. My work involves leveraging cutting-edge technologies such as FastAPI and VertexAI Feature Store, showcasing my ability to blend technical skills with business acumen.
Previously, I served as a Senior Data Scientist at Adira Finance, where I led a team of five data scientists in creating a credit loan decision engine that projected an additional $1.2 million in revenue. My experience also includes developing a large language model (LLM) chatbot to enhance customer service efficiency. I pride myself on my leadership skills, having been involved in hiring and training new talent in the field.
With a Master’s degree in Computing from Imperial College London and a Bachelor’s in Biochemical Engineering from University College London, I possess a solid educational foundation that complements my practical experience. I am passionate about using data to drive insights and improve decision-making processes in organizations.
Experience
Work history, roles, and key accomplishments
Data Scientist II
Traveloka
May 2024 - Present (2 years 1 month)
Developed Paylater Transaction Scoring using a tree-boosted algorithm, screening over 3 million applications annually, reducing potential fraud by $600k and generating an additional $300k in revenue. Initiated PreApproval Scoring, enhancing KYC scoring with 230+ features, achieving a 42% uplift in PR-AUC. Maintained and revamped 7 legacy fraud detectors.
Senior Data Scientist
Adira Finance
Jul 2023 - May 2024 (10 months)
Led end-to-end model development for a credit loan decision engine with real-time API service using XGBoost and Random Forest, projected to generate an additional $1.2m in revenue. Developed an LLM Chatbot for customer service, utilizing historical text data for pre-training. Managed a team of 5 data scientists, overseeing hiring and training.
Data Scientist
The Hut Group
Oct 2021 - Apr 2022 (6 months)
Optimized warehouse management systems across 7 locations, improving pick rate efficiency by 8% and reducing replenishment costs by 15% through stock prediction and dynamic packaging recommendations. Increased unit test coverage in the data science team from 12% to 75%.
Education
Degrees, certifications, and relevant coursework
Imperial College London
MSc, Computing
2020 - 2022
Courses included Algorithms, Computer Vision, Machine Learning, Operating Systems, Object Oriented Programming in C++, Networks, and Database. Served as Year Representative and won 1st Prize in Citadel Data Open and AI Hack.
University College London
BEng, Biochemical Engineering
2017 - 2020
Grade: First Class Honours
Awarded First Class Honours with a minor in Applied Mathematics. Received the Sir Derek Roberts Scholarship and won a Silver Medal in the iGEM competition.
Tech stack
Software and tools used professionally
Availability
Location
IndonesiaAuthorized to work in
Job categories
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