Derren Wilson

• As a Senior Analytical Consultant at SAS Institute Australia, I lead teams in designing and implementing analytical solutions for high-profile clients
• My role involves engaging in pre-sales activities, managing complex data projects, developing predictive models, and collaborating with stakeholders to ensure solutions align with business requirements. Key projects include:

Large Telco - Application Fraud (6 years).

• Led the development and ongoing management of a real-time application fraud scoring system using network analysis across multiple sales channels.
• Achieved a 75% reduction in fraud cases, and significantly improved profitability.
• Engineered high-performance APIs, ensuring 99% of responses under two seconds.
• Responsibilities included feature engineering, modeling, identifying model drift, model rebuilding, conducting root cause analysis, and regularly presenting key insights to the client.

Law Enforcement (multi-year transformational project)

• Led a team in developing analytics capabilities for policing, intelligence, and investigations.
• Developed NLP for identifying emerging crime threats and named entity recognition in police reports.
• Created predictive models and improved forecasting of specific crime types.
• Delivered interactive visualizations to assist police in human-led intelligence gathering.
• Acted as a subject matter expert for complex entity resolution and network generation across 10 disparate data sources, and millions of records, to enable investigators to visualize previously unknown connections and networks.
• Collaborated with frontline police, policing command, and forensic psychologists to determine business requirements, and ensure solutions met functional needs.

Health Insurer - Provider Fraud and Payment Integrity.

• Developed a new decisioning framework to reduce fraud and non-compliant claims, expected to realize significant annual savings.
• Collaborated with stakeholders to translate complex policy rules and limits into 'pay/no pay' near-real-time decisions.

Customer Owned Bank

• Developed and deployed a mortgage churn model to identify and target at-risk customers.
• Addressed rare event challenges by applying inverse decision costs and adjusting sample prior probabilities, achieving a model performance lift of 8.

• Led advanced analytics projects across various industries, including government, banking, and retail
• Responsibilities included project delivery, coaching and mentoring RXP consultants, and opportunity identification in RXP’s client base

Large Health Insurer

• Provided advisory services to the marketing department in the development and execution of churn modelling
• Successfully reduced churn by 20% and increased profitability
• Included modelling Customer Life-Time Value to inform retention strategies

Large Bank

• Developed reporting dashboards to monitor anti-money laundering, and fraud detection data.
• Enabled the bank to leverage its data assets to meet regulatory requirements

Australian Tax Office (visual analytics project)

• Successfully delivered a visual analytics project to improve analytics and modelling across workforce planning, risk management, and compliance
• Outcomes included visualizations to identify non-compliance by tax agents, workforce planning through modelling demand for services, and more timely reporting of issues
• 
  

• Managed a team of four to enhance analytics capabilities, leading to improved forecasting accuracy and significant cost savings
• Proactively designed and implemented a new SQL database and ETL process to store previously uncaptured customer data and then apply advanced analytical techniques using open-source technology to improve business outcomes
• Implemented advanced analytical techniques to optimize promotional outcomes, resulting in reduced trade spend (approx.15%) and increased sales (10% growth)
• Improved forecast accuracy by 10% (to ~87%) consistently through improving data captured across systems and forecasting technique

• Developed the Group’s Customer, Competitor, and Market Intelligence framework to better leverage internal and external information assets

• Provided medical services company specializing in general medical, emergency response and medical evacuations in Afghanistan

• Managed and delivered analysis based on internal data and external research, developing models to predict customer behaviours and utilizing market research results for channel and product development opportunities
• Created models to allocate SMB pre-approved lending limits.
• Developed new scoring model for residential mortgages.
• Managed the market research function within the division, including managing suppliers and a $4m budget