Open to opportunities

Gordon User

@gordonuser1

Message

Data scientist and ML engineer building production data platforms.

Singapore

Message

What I'm looking for

I am looking for a hands-on data or ML role building production data platforms and models, collaborating cross-functionally, with opportunities to impact product strategy and scale data-driven solutions.

I am a data scientist and machine learning engineer who builds data-centric systems and automated workflows to drive business impact. I specialize in transforming complex datasets into actionable recommendations and supporting strategic decision-making.

At Factorem I established the data foundation, implemented ETL pipelines on Azure, built BI dashboards and data APIs, and launched agentic workflows to automate queries and notifications. I delivered measurable results including double-digit improvements in targeted margin streams and cost reductions for suppliers.

Previously I led GenAI and fraud-detection initiatives at a large telco, achieving strong precision for scam detection and dramatically reducing fraudulent network activity. I have also contributed to analytics and ETL work at Sephora, Grab, and ESGnie, leveraging tools from BigQuery and DOMO to Neo4j and LangChain agents.

I hold a BSc in Data Science and Analytics with Distinction and bring hands-on experience in model development, production pipelines, experimentation, and cross-functional collaboration. I seek opportunities where I can build robust data products and deliver measurable business value.

Experience

Work history, roles, and key accomplishments

Current

Data Science Engineer

Current

Factorem

Jan 2025 - Present (1 year)

Built the Data team and an in-house Azure data ecosystem with ETL workflows, BI dashboards and data APIs, improving cross-team data accessibility and enabling data-driven product and commercial decisions.

Azure ETL MySQL DuckDB Dashboards APIs N8n A B Testing Statsig

Machine Learning Engineer

Singapore Telecommunications

Jan 2024 - Dec 2024 (11 months)

Piloted a GenAI scam detection project and led systematic scam detection initiatives, achieving 80% precision on models and reducing fraudulent network activity by 85% while securing Linux-based systems handling 4M+ daily events.

Fraud Detection NLP GenAI Model Fine Tuning Linux Vulnerability Assessment Network Analysis Python

Merchandising Regional Analyst

Sephora

May 2023 - Dec 2023 (7 months)

Restructured ETL pipelines and built BigQuery/DOMO dashboards to monitor key metrics for 100+ brands, and implemented an internal LangChain agent that reduced recurring analytics time by 90%.

BigQuery Domo ETL Data Modeling Dashboarding SQL Automation Analytics Lang Chain

Data Scientist

ESGnie

Nov 2021 - May 2023 (1 year 6 months)

Designed graph database query algorithms and visualizations and engineered APIs to extract and pipeline unstructured ESG data from reports into graph representations for topic-specific retrieval.

Neo4j Networkx API Development AWS Data Pipelines Python Data Visualization

Data Scientist, Pricing

Grab

Aug 2022 - Dec 2022 (4 months)

Performed data analysis and predictive modelling on transport data using TensorFlow and visualization tools to improve booking prediction and inform network optimization strategies.

TensorFlow Python SeaBorn Data Analysis SQL Experimentation

Education

Degrees, certifications, and relevant coursework

National University of Singapore

Bachelor of Science, Data Science and Analytics

2019 - 2023

Grade: Distinction Honors

Activities and societies: Coursework in Machine Learning, Statistics, Algorithms; exchange programme at Technical University of Kaiserslautern.

Completed a Bachelor of Science in Data Science and Analytics with Distinction Honors, including an exchange at Technical University of Kaiserslautern in 2022.