+\cventry{Dec 2020 to present}{Analytic Services and Solutions Manager}{Synergy}{Perth}{Australia}{Manage a group of analytics teams for the retail business unit of Synergy, Western Australia's leading provider of electricity and gas, supplying millions of residential, business and industrial customers across Perth and WA.
+ \begin{itemize}
+ \item Launched a Forecasting Solutions team to develop customer solutions in response to strategic challenges facing Synergy;
+ \begin{itemize}%
+ \item Transitioned Wholesale Business Unit and Retail Business Unit to new short-term energy forecasting model with increased accuracy thanks to solar irradiance data inclusion and alignment with trading value drivers;
+ \item Implemented customer tool to optimize capacity costs through peak demand day notification functionality;
+ \item All functionality implemented on Microsoft Azure platform.
+ \end{itemize}
+ \item Transformed operation of Pricing and Portfolio team
+ \begin{itemize}%
+ \item Enabled management of actual profitability by product and by customer;
+ \item Had oversight of the development of a new Synergy-wide long-term pricing approach for strategic loads;
+ \item Selected future pricing engine and consulted on its implementation.
+ \end{itemize}
+ \end{itemize}}
+ % split in additional cvitem to allow spreading over 2 pages
+ \cvitem{}{
+ \begin{itemize}
+ \item Refocused Customer Analytics team in light of increasing importance of distributed energy resources.
+ \begin{itemize}%
+ \item Developed a digital twin of the Retail Business Unit, enabling scenario analysis and impact assessment of DER rollouts.
+ \end{itemize}
+ \item Served as market and value lead for Distributed Energy Resources (DER) Strategy development for Commercial Business Unit, articulating strategic options to capture value from the growing importance of these assets in the electricity market;
+ \item Developed world-leading end-to-end process managing solar curtailment based on machine learning algorithms predicting balancing price outcomes in the energy market.
+ \end{itemize}}
+
+\cventry{Jan 2018 to Nov 2020}{Customer Analytics Manager}{Synergy}{Perth}{Australia}{Manage the customer analytics team for the retail business unit.
+ \begin{itemize}
+ \item Initiated transformation to compete on analytics in key business functions - saving an estimated recurrent AUD 1.2M yearly in Sales Pricing process;
+ \begin{itemize}
+ \item Developed customer account level time series forecasting model using machine learning;
+ \item Set up microservice operationalising forecasting service;
+ \item Automated triggering and consumption of forecast in existing business process.
+ \end{itemize}
+ \item Realised savings of AUD +5M in network costs by introducing change point detection in customer consumption and triggering appropriate account management actions;
+ \item Implemented and rolled out a customer-facing analytical product in under 4 months;
+ \item Transitioned team to agile delivery model and implemented analytics Community of Practice;
+ \item Significantly raised team engagement, stemming employee turnover and creating trusted partnerships with other teams.
+ \end{itemize}}
+
+\cventry{Jul 2016 to Sep 2017}{Manager Business Analytics}{Fair Go Finance}{Perth}{Australia}{Manage
+ the business analytics team; develop plans and set high level priorities within the business
+ that can be actioned by the management team.
+ \begin{itemize}
+ \item Transitioned from vendor-delivered credit risk model to proprietary machine learning big data model;
+ \begin{itemize}
+ \item Introduced automated credit risk model reducing assessment time by 50\%;
+ \item Coordinated development of updated model with automated learning implemented in Python - realising 1.3M in yearly benefits.
+ \item Monitored performance through implementation of vintage delinquency reports, static pool writeoff and roll rate analysis.
+ \end{itemize}
+ \item Managed bad debt level on loan book down significantly, lowering borrowing costs 25\%;
+ \begin{itemize}
+ \item Introduced automatic delinquent accounts management in revised collections strategy;
+ \item Increased profitability by outsourcing handling of non-performing loans.
+ \end{itemize}
+ \item Automated reporting suite for real-time business intelligence, saving 1 FTE while increasing outputs;
+ \begin{itemize}%
+ \item Developed website traffic, sales, time-to-book, revenue collection and predictive model monitoring reports in R;
+ \item Automated reports on Azure Linux with MS SQL Server db and Google Analytics.
+ \end{itemize}
+ \item Transitioned company to become part of global listed group.
+ \begin{itemize}
+ \item Switched loan loss provisioning to IFRS9-based credit impairment model;
+ \item Merged business analysis function, saving 1.5 FTE;
+ \item Merged loan book database for profit and loss reporting.
+ \end{itemize}
+ \item Provided direction to 4 managers.
+ \end{itemize}}
+
+\cventry{Jun 2015 to Jun 2016}{Manager Portfolio Delivery}{Fair Go