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Luqman NaqibLN
Open to opportunities

Luqman Naqib

@luqmannaqib

Data scientist and analyst skilled in ML, automation, and operational analytics for business impact.

Singapore
Message

What I'm looking for

I seek roles applying ML and analytics to operational problems, emphasizing reproducible models, automation, and stakeholder-facing insights in collaborative teams.

I am a data scientist and analyst with hands-on experience building ML systems, analytics dashboards, and automation tools across finance, logistics, and AI research contexts.

At AI Singapore I developed a scalable RAG pipeline on GCP, fine-tuned LLMs with LoRA (published to Hugging Face), and built AI-enabled document tagging tools that improved retrieval precision and latency.

In industry roles with Shopee SPX and FedEx Singapore I delivered automated KPI dashboards (Power BI, Excel), quantitative analyses using SQL and Advanced Excel, and automated Python/VBA solutions that streamlined reporting and supported regional leadership decisions.

I bring structured modelling and quantitative rigour from my BSc in Data Science and Analytics (NUS), a track record of deploying reproducible ML work, and a bias for delivering client-ready insights that inform operational strategy.

Experience

Work history, roles, and key accomplishments

DB
Current

AI Ops Apprentice

DBS Bank

Jan 2026 - Present (5 months)

Incoming role focusing on AI operationalization and banking technology to support production-ready AI systems and operational workflows.

Education

Degrees, certifications, and relevant coursework

National University of Singapore logoNS

National University of Singapore

Bachelor of Science, Data Science and Analytics

2021 - 2025

Bachelor of Science in Data Science and Analytics with coursework in regression, statistical learning, machine learning, fintech data science, and optimization; completed project work on time-series stock recommendation, real estate price prediction, and library resource optimization.

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