Experience

nbn® Australia

• Australia
• Telecommunications
• 700 & Above Employee

• Executive Manager Data Science - COE - Chief Data Office

  • Sep 2021 - Present

  • Designed and built Data Strategy & Vision for Data Science Center of Excellence for Chief Data Office• Managing cross-functional collaboration with IT architecture teams to deliver organization wide data strategy through strong data governance procedures and federated data dictionaries• Led the team for first ever production deployment of machine learning model for Disconnections Forecasting model in partnership with IT organization. • Led the cross-functional teams for effective delivery of various large projects including Customer Churn model, DSAT Driver Model and Forecasting Model • Responsible for a team to conduct complete end-to-end Data Science solution design from rapid prototype to Operational AI/ML models.• Strategized and developed advanced analytics modelling approach across customer business to uplift data maturity and create value for business in establishing new business initiatives.

• Executive Manager Customer Data & Analytics

  • Oct 2020 - Sep 2021

  • 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.



Rabobank Australia

• Australia
• Banking
• 400 - 500 Employee

• Senior Advanced Analytics & Enterprise Risk Data Manager

  • Oct 2019 - Sep 2020

  • 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. • Strategized 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. • Oversaw the implementation of data platforms within Risk Division including Knime implementation and Microsoft Azure and Power BI rollout. • Developed and implemented information management & self-service analytics framework for both internal risk teams as well as wider business teams leveraging risk reports • Introduced critical control points on all data pipelines/lakes to ensure proper data governance on data quality across all business units • Introduced Data Governance framework to identify, analyze & perform corrective actions with relevant data owners on data quality issues introduced by up-stream platforms.



SAI Global Assurance

• Australia
• Business Consulting and Services
• 200 - 300 Employee

• Head of Data Science & Analytics

  • Sep 2018 - Sep 2019

  • 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 • Designed and developed Machine Learning models to predict risk across the network of sites based on both structural and temporal features and update risk profile based on changed conditions • Orchestrated business metrices to mitigate pertaining operational risk through intervention-based models and forward feeding user interventions • 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 • Introduced critical control points on all data pipelines/lakes to ensure proper data governance on data quality across all business units • Introduced ETL framework through CICD processes using SSIS, Alteryx Server & Luigi server to ensure proper data quality and transformation reporting against each data pipeline • Introduced data modelling framework for ingesting data from the RAW data source and applying data transformations all the way up to the presentation layer in Tableau



Canon Australia

• Australia
• IT Services and IT Consulting
• 500 - 600 Employee

• Head of Data Science & Analytics

  • Mar 2017 - Sep 2018

  • 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 problemsTools: Python, R, Azure ML, Power BI, MS-PDW, SQL Stack 2017, Google Analytics, Sitecore FXM, Oracle SRM, SalesForce (SFDC)

• Manager Data Analytics

  • Feb 2016 - Mar 2017

  • 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. • Developed Machine Learning models including Text Sentiment Analysis and Time Series Forecasting to help validate key business hypothesis. • 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.



Wesfarmers Industrial and Safety

• Australia
• Retail Office Equipment
• 200 - 300 Employee

• Lead Data Analytics & Customer Insights

  • Jun 2015 - Feb 2016

  • 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



Telenor

• Norway
• Telecommunications
• 700 & Above Employee

• Manager Network Analytics & Transformation

  • Aug 2010 - Jan 2015

  Led a team of data & network engineers to drive business performance. 4 out of 6 exceed/outstanding performance reviews.• Helped develop Telenor’s Data driven ”Internet For All” 3 year 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

• Assistant Manager Network Analytics & Optimisation

  • Jun 2005 - Sep 2010

  Multiple roles, two promotions in 3 years with all exceed/outstanding performance reviews• Effective Data Mining techniques including clustering and classification models ensured efficient network resource utilisation• Data exploration & data discovery techniques along with effective feature engineering.• Time series and seasonality analysis for predictive modelling and forecasting network resources.• Geospatial data visualisation for optimised network planning • Built & tuned predictive models to simulate network performance