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Build and deliver BI and data-science solutions using Power BI, Python, Azure, SQL Server, and SSIS/SSAS for internal teams and customers.
Lead product experimentation and data-driven feature development, mentoring junior team members and translating insights into actionable recommendations.
Design, build, and deploy ML models to solve business problems, analyze large datasets, and collaborate with engineering/product teams to productionize solutions.
Data Scientist in Kuala Lumpur building time-series, NLP, and computer-vision models to optimize maintenance workflows and supply-chain decisions for ExxonMobil’s Product Solutions business.
Designs and runs experiments to test product ideas, analyzes data to uncover trends, and guides teams on data-driven decisions using A/B testing and metrics.
Lead scalable analytics and ML projects for a major telecom operator, owning end-to-end initiatives and shaping business decisions with data-driven insights.
Lead statistical modeling and machine learning for demand forecasting in a global life-sciences company, partnering with planners to improve inventory and supply plans.
Build and deploy ML models to improve insurance claims, customer experience and risk management using Python, SQL and Power BI.
Lead AI/ML projects and data strategy for an insurtech firm, building predictive models and mentoring teams to turn complex datasets into business decisions.
Lead AI and data science initiatives, building GenAI/LLM solutions and predictive models to drive business insights and innovation across 400+ stores.
Data Scientist optimizing Grab’s fulfilment platform by analyzing planning, dispatch, pricing, and driver experiences to drive data-backed decisions.
Develops image-processing and computer-vision models using Python and SQL to analyze visual data at scale for R&D initiatives.
Build and deploy ML models to optimize travel experiences, revenue, and targeting for a 50M+ user platform using Python, R, SQL, and deep learning.
Build and deploy AI models in Python using TensorFlow/PyTorch, then productionize them with MLOps on Azure and Docker; translate insights into business decisions.
Builds and deploys AI models (LLMs, agentic AI) and statistical models to generate daily insights, clean and mine data, and collaborate with teams to deliver production-ready analytics.
Design and deploy AI/ML models in Python to optimize pricing, promotions, and trade spend for revenue growth in a dairy company.
Build ML models and data pipelines to optimize travel experiences and revenue using company data, collaborating with engineers and stakeholders.
Build and deploy computer-vision models and analytics pipelines in Python/SQL, using cloud/big-data tools to extract insights from image data for R&D projects.
Design, build, and deploy AI/ML models and Generative AI solutions for clients in banking, healthcare, and other industries, covering the full lifecycle from data prep to MLOps.
Build and deploy machine learning models and AI-powered applications while collaborating with data engineers and stakeholders to solve business problems across markets.
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