Mohammad Alauddin Email & Phone Number

Melbourne, Victoria, Au

• Delivered data distribution strategy and roadmap for enterprise data platform on the GCP cloud to enable operational and analytical use cases across the bank; Delivered secure, scalable data platform for real-time transactions and large batch processing use cases across the bank. The data & AI platform fuelling data to ANZ Plus mobile App. • Data product development to migrate enterprise data systems from on-prem to the cloud.• Delivered in-house data capabilities and built reusable data mesh blueprints on GCP that other teams and tech areas can used. • Building MarTech data engineering platform from scratch and delivered real-time/batch customer profiling/ eventing pipelines to drive personalisation use cases in ANZ Plus mobile App.• Build team culture to promote an innovation mindset such as continuous learning, collaboration, and experimentation, standardisation, automation.• Responsible for managing and growing data engineering chapter/ squads of 17+ engineers.

Richmond, Victoria, Au

Enhanced efficiency by designing and implementing cloud-based DATA and ML Platform, capable of ingesting/processing millions of real-time and batch events and store in Data Lake. Developed Automated Actionable Dashboards and presented to Sales/Product/ Marketing teams and executive leadership team. Delivered Machine Learning models running in production. Utilized deep learning AI model to automate content QA and develop Image censoring. Developed Property Valuation Model with 89% accuracy.• Drove 10% ROI boosts via analytics actions on digital marketing campaigns. Developed actionable dashboards through data acquisition and data processing from Facebook, Google, and third-party marketing platforms.• Increased 9% in search and lead conversion through in-house developed Recommendation Engine using Collaborative Filtering.• Recruited and built an exceptionally strong data science and data engineering team of 20 for Southeast Asia's leading Property Tech digital platform that operates eight brands in six different countries.• Built a data platform worth $10M.• Delivered intelligent data services leading to 30% increment in consumer base YoY.• Maximized revenue by 5% through developing self-service Business Intelligence platform for sales operational and strategical decision making.Key Projects: Recommender Systems, Image Compliance Detection, Property Valuation ModelTechnology Stack: Python, AWS(S3, Lamda, EKS, EMR, MSK), Kubernetes, GCP, BigQuery, Kafka/DataFlow, PubSub, ElasticSearch, Spark, CI/CD, Tableau and Data Studio.

Sepang, Selangor Darul Ehsan, My

Designed and developed Airline Data Wearhouse on Cloud that ingest Transactional ticketing systems data and Digital Web and Mobile traffic – unstructured data, process and store in the Data Lake. Created web product funnel, digital marketing and visitor behavior analysis dashboards which help products to understand product formation after new feature release, such as drop rate, conversion rate etc. Built Dynamic Pricing Machine Learning model using GBRT to predict daily seat sale on each Route/Flights. Recommended product design changes based on personalization experimentation results. Directed a team of data scientists and drove data-driven culture with digital, product, and revenue management team to increase efficiency. • Acquired 7% more customers YoY by conducting statistical analysis and customer segmentation, such as price sensitivity, loyalty, and travel purpose.• Achieved 12% rise in click rate by implementing ancillary purchase prediction classification model • Delivered 10% search uplift through A/B testing & personalization experimentation campaigns.Key Projects: Revenue optimization, Personalization, Ancillary Prediction

Cyberjaya, Selangor Darul Ehsan, My

Produced a logistic regression classification model to detect network fault on customer devices upfront using various network probe system logs. Spearheaded a team of 12 members; four sub-teams - data science team, data processing & tools development team, data collection team and infrastructure team. Conducted business analysis and used case design to solve TM network operations and marketing problems. Designed roadmap, architecture and Eco-System for TM BigData Lab. Developed bigdata analytics framework and evaluated 10 technology partner in acquisition, marshalling, analyze and decide phases. Performed large scale data processing in Hadoop platform with MapReduce, Pig, Hive and Java. Drafted analytics model with R, Mahout, RapidMiner and Radoop open source BigData components. Delivered Business Intelligence Solution with SAP BusinessObjects and QlikView.• Reduced 3% fault rate by carrying out descriptive, statistical significance analysis to understand Network equipment performance (fault rate) from different vendors and models and provided recommendation to CTIO and Senior Tech leadership team.• Employed Hadoop, hive, pig and spark to develop telecom large scale data warehouse on open source big data platform.Key Projects: Complex System log data processing with Hadoop , Network Equipment Fault Prediction, Network Maintenance Schedule Optimization, and Customer Centric DNA.

Tejgaon, Dhaka, Bd

Conducted Ad Hoc analysis and delivered Business Intelligence reporting by writing Complex SQL for internal market operation team, such as Product, CRM, and Research. Processed development and proactive actions plan for better automation of reports. Prepaid and Postpaid customer profiling, segmentation and campaign management. Performed requirement analysis, prototype/format design of reports, analytics and customized report applications as per stakeholders requisite. Produced SQL Query and Logic Design for stakeholder’s adhoc/complex reports and analytics. Developed, maintained, and shared business objects Ad-hoc and regular reports, analytics/dashboard with users. Created Predictive Analytics (e.g. Churn Prediction) model using oracle data mining. Interfaced with Robi Market Operations Departments/Units (Stakeholders).• Developed a Multi-SIM user’s Prediction ML model with 88% accuracy.• Built a data model for postpaid and prepaid customer profiling in Oracle.Major Tools Used : Oracle 11g, Oracle Data Miner for Predictive Analysis, SAP Business Objects, JasperIntelligence BI, Jasper Analysis OLAP, Toad for Oracle, Java/J2EE etc

Led and coordinated engineering team for on-time delivery. Developed, maintained, and supported BI Operation, related data warehouse and dashboards for eight European clients in SAP Business Objects.

Requirement analysis, Java based CRM Software development for US Clients. Reporting and Analytics Module: Design, Implementation and Manage Reporting Section for Customer Relationship Management (CRM) Software. Statistical analysis and report design using JasperReport, iReport, Jasper Analysis and Jasper Server.

Responsibilities: - Requirements Analysis, Design and Development of Web Based J2EE Micro Credit System Software for Marcantile Co-operative Bank Ltd. - Jasper Report Design and Development for the ERP System of Singapore IDD Solutions. - Quality Testing of all ERP Reports as per Customer Requirements. - Automation of the Trading System of Dhaka Stock Exchange Limited.

Master Of Science - Ms, Computing And Informatics

Bachelor Of Science, Computer Science And Engineering