Md Alauddin

Innovative Data professional with 14 years of experience in data engineering & analytics. Successful in launching data-driven digital and AI products from inception to completion. Highly accomplished in influencing decision-makers and driving profitability across multiple divisions, including airline revenue management, digital marketing, digital product development, sales performance boosts. Eager to bring expertise to the growing organization in challenging new role.

Well-qualified data engineer and scientist, experienced working with vast data sets to break down information, gather relevant points and solve advanced business problems. Skilled in large scale data management, modelling, actionable analytics development. Offering ten years of experience in improving business operations.

Results-driven Computer Science professional with good technical skills, a firm grasp of business needs and an understanding of user requirements gathering. Assesses risks, troubleshoots problems and conducts tests. Excellent communication and planning abilities.

• Delivered a modern data platform on the public cloud, capable of processing terabyte-scale batch and real-time data. Primarily technical expert and team-lead for a large workstream to build out a regional data warehouse (8 brands in 6 countries) to empower business intelligence, analytics and data science use cases.
• Delivered $20M in ROI value to the organization by building an enterprise production data platform that enables and industrialized analytics funnel and data science models that assists to boost click-through rate by 30% and improve operational efficiency by 200%.
• Designed and implemented complex data architecture, data pipelines, data governance, DevOps processes, and production support capabilities.
• Developed and operationalised data science use cases from inception to completion. For instance, recommender system, airline revenue optimization, digital marketing channel attribution, image compliance detection, and property valuation system.
• Delivered a regional self-service business intelligence and data solutions for the product, sales, and marketing team that saves 40% marketing budget and generates $10M additional sales.
• Build the first data science and data engineering team in the organization: established data governance and security framework; mentor efficient coding and scripting, team-player with excellent communication skills to disseminate results and progress internally and externally in meetings, presentations, and tech talks.
• Guest Speaker at Google Cloud Summit Kuala Lumpur; Shared AirAsia (2018) and REA Group Asia (2019) data journey.
• Published Google Case Study on Using data analysis to gain insights and AWS Case Study on Automated image compliance