Usman Shahbaz Email & Phone Number

Sydney, Nsw, Au

North Sydney, Nsw, Au

• Nominated by the Chief Data Office to co-design organisation-wide Data Strategy with clearly defined Objectives Key Results (OKR) along with external data consultants.• Improved Customer Order Disconnections by 15% and identified potential savings worth $30 million in lost revenue by deploying the nbn first production machine learning model.• Accomplished nbn first Customer Dissatisfaction Driver Model within the business to understand customer pain points throughout the customer journey and help business decision support.• Championed data led culture through engaging with wider business units by running Hackathons and running Data Capability uplift sessions such as Data Science Brains Trust • Led the cross-functional teams for effective delivery of various large data programs including Customer Churn, Drivers for Customer Dissatisfaction and Orders Forecasting Model • Strategized and developed advanced analytics modelling approach across customer business to uplift data maturity and create value for business in establishing new business initiatives.

North Sydney, Nsw, Au

• Led a team of 10 senior Data Scientists, Data Specialists and Analysts to deliver complete Data Analytics support for Customer Products and Marketing division, the largest business unit within NBN• Introduced process efficiencies across the team to improve team deliveries and implemented division-wide horizon planning activities to streamline data analytics work stream• Accomplished first Customer Dissatisfaction Driver Model within the business to understand customer pain points throughout the customer journey and help business decision support• Strategized diagnostic analytical support and reporting to help business units understand the WHY on descriptive reports.

Sydney, Nsw, Au

• Led a team responsible for conducting complete end-to-end enterprise risk management modelling including designing and conducting stress test models for capital adequacy assessment.• Strategised and developed advanced analytics modelling approach to aggregate internal and external data sets to build capital provisioning, reverse stress test and credit risk models.• Remodeled and redesigned analytical processes to include newer machine learning methods to conduct capital adequacy and running portfolio level stress testing. • Managed and ran the bank wide annual ICAAP process for both Australian and New Zealand businesses.• Scheduled and strengthened quarterly Enterprise Risk Reporting framework with adequate insights for board reporting for all Australian and New Zealand business entities.• Built and delivered data governance framework with regulatory requirements and principles of prudential regulation and financial sector risks in compliance with APRA CPG235

Sydney, Nsw, Au

• Led Data Science team to strategize and develop company’s first commercially available Predictive Risk Analytics product for the Quick Service Restaurant (QSR) and Hypermarkets industry verticals• Accomplished predictive risk profiles to identify Operational Risk, Compliance Risk, Quality Risk and Financial Risk against each site within the network by joining client’s internal and publicly available data sources• Developed a complete business hypothesis testing platform to understand risk impact and corresponding important features from different data sources on a user selected business hypothesis• Developed and implemented information management & self-service analytics framework for both internal team as well as external clients

Macquarie Park, Nsw, Au

• Developed company-wide data analytics strategic framework which is used as the fundamental pillar in introducing Data Science & Analytics capability to the business. • Built Data Science & Analytics team from ground up with various benefits case presentations to the CEO & SLT and articulating detailed business objectives for Data Science• Articulated and liaised with wider IT organization to help build Information Management strategy and establish Data Governance principles.• Partnered with Microsoft to introduce Azure based Machine Learning capability to the business and built partnership and collaborative company-side hackathons to solve business problems

Macquarie Park, Nsw, Au

• Designed Data visualization based hypothesis testing workbench to build quick business prototypes and then ultimately devloped production analytical solutions and reports for consumer business.• Developed marketing & commercial dashboards with dynamic reports in Power BI for effective diagnostic insight generation. • Introduced Digital & media attribution dashboard including paid, earned & owned media attribution. • Integrated and ingested external market data sources along with the internal data sources to prepare a full picture on product categories • Introduced Data Architecture & Data Governance in the business with wider business objectives.• Led the cross-functional exercise on building a single customer view across multiple channels including brand site, ecommerce, service center, social, eCRM, events and loyalty/warranty programs.

Sydney, Nsw, Au

• Designed and developed data driven campaigns to target Small & Medium Business based on past buying behavior of 250K SKUs.• Designed and developed data engineering procedures to ingest data from multiple data sources including EDW and present data in front end in-house built front-end tools like Product Selector, Promotion Upload Tool etc.• Standardized marketing performance campaign KPIs such as cost per lead, customer lifetime value, cost of customer acquisition etc. and their reporting dashboard formulation. • Designed a full-scale Category Management Dashboard to measure portfolio performance around brand health, industry penetration, demographic performance and inventory performance against respective product categories.• Analyzed large data sets of products, campaigns and sales & marketing data to develop Market Basket Model to review buying behavior of 350K large customer across 250K SKUs and suggested product associations for effective campaigns for cross-sell, up-sell

Fornebu, No

Led a team of data & network engineers to drive business performance. 4 out of 6 exceed/outstanding performance reviews.• Helped develop Telenor’s 3 year Internet For All Data strategy map• Employing advanced analytics techniques helped increase regional revenue by 15%, reduced OPEX by 20%, overall regional profitability by 7% and regional NPS by 15%• Introduced Network Analytics coupled with consumer demographic projections to improve brand health and Net Promotor Score (NPS)• Introduced Location Intelligence & geo-spatial visualisation platforms in the region for effective data discovery

Fornebu, No

Multiple roles, two promotions in 3 years with all exceed/outstanding performance reviews

Doctor Of Philosophy - Phd, Machine Learning & Natural Language Processing

Masters Of Research, Data Science, Machine Learning

Mba, Management

Bsc-Electrical Engineering, Electronics & Communication