• Developed best in class large language model powered document parsing, summarisation and extraction solutions for general, property and commercial insurance.• AWS and Azure based cloud and infrastructure technologies used. • Automation pipelines using a mix of conventional and generative A.I workflows.• Instructed and guided data science team on solutions, research and best practises.

• Developing next generation risk, language and automated assessment models for a new life insurance technology drive.• AWS, Azure, GCP and more cloud and infrastructure technologies used. Large Language Models extending and refining GPT like solutions for business use cases such as pre-approval and assessment analysis.• Generative models developed to assist in large scale agent simulations to improve risk assessment and factor analysis for Life Insurance covers.

• Created credit risk assessment models for new and existing clients with dynamic dashboards and visuals.• Created data science data warehouse in GCP using BigQuery, CloudSQL and Airflow.• Researched cutting edge transformer models to expand and enhance model training on low sample sizes and/or feature sparse datasets.• Instructed and guided data science team on solutions, research and best practises.TECHNOLOGIES• Python, GCP (Vertex AI, Cloud functions, Kubeflow, App engines), AWS, PyTorch.• Timeseries modelling, Embedding models, Transformers, GANs, Reinforcement Learning, Data Pipelines, Cloud Infrastructure design (GCP)

• Object detection using Yolov5 and bespoke algorithm to extract platform level train operational timing from CCTV footage.• Created data warehouse in AWS using CloudSQL, Athena, S3 and Step Functions.TECHNOLOGIES• Python, Pytorch, AWS (CloudSQL, EC2, Lambda, S3), OpenCV, MySQL, PostresSQL.• CNNs (Vanilla, WaveNet, ResNet), Data Pipelines, Cloud Infrastructure design (AWS)

• Combed MILP optimisation models with machine learning forecasting models for schedule creation and assessment.• Developed transformer, clustering and time series feature extraction and performance metrics to assess scheduling operations. • Built data store, including ETL processes and code for model and metric storage.TECHNOLOGIES• Python, Azure (Databricks, MSSQL, AKS, Power Bi), PyTorch, Java, AWS, Gurobi, CPLEX.• Operations Research (MILP, MIP), Optimisation, Feature Engineering, Transfer Learning, Time series modelling, Transformers, GANs.

• Created NLP models using BERT for object identification with free text court transcripts.• Developed hybrid NLP models combined with pattern matching algorithms to extract domain language content from free text.• Created clustering and sequence reconstruction algorithms to use NLP extracts to calculate court utilisation at the case level across all court rooms in NSW.• Created court resource utilisation forecasts using XGBoost regression models trained on extracted case timing data.TECHNOLOGIES• Python, Julia, MSSQL, AWS, Spacy, Gensim, XGBoost.• NLP (Topic mining), BERT, Fuzzy Matching, Clustering (KNN, UMAT), Process Mining (Sequence analysis), Data Pipelines, regression models.

• Created sentiment analysis and topic mining models across 18 free text sources of customer feedback using Spacy, LDA and KNN clustering.• Developed data pipelines into Azure and MSSQL to transform and feature engineer modelling data.• Created Tableau reports and visualizations over sentiment and topic models.TECHNOLOGIES• Python, MSSQL, Azure, Tableau, Spacy, Gensim XGBoost.• NLP (Topic mining), LDA, Fuzzy Matching, Clustering (KNN, UMAT), Data Pipelines

• Researched spatial clustering models KNN, DBSCAN for workforce resource allocation.• Created forecasting models using ensembles to predict spatial region growth patterns.• Developed solution using optimisation based MILP models to created optimised resource allocation schedules using spatial model outputs.TECHNOLOGIES• Python, MSSQL, PyTorch, Java, AWS, Gurobi, CPLEX.• Spatial Clustering (KNN, DBSCAN), Operations Research (MILP, MIP), Optimisation, Feature Engineering, Transfer Learning, Time series modelling, Transformers.

• NLP topic mining using Spacy, LDA and Gensim for fraud and feedback analysis.• Created regression models for complaint forecasting and severity analysis using PCA techniques such as SVD, SVM and RF latent factor models.• Created Excel reports over analysis, forecasts, PCA and factor analysis.TECHNOLOGIES• Python, Julia, MSSQL, AWS, Spacy, Gensim XGBoost.• NLP (Topic mining), Fuzzy Matching, Clustering (KNN, UMAT), regression models.

• Created customer segmentation models using multiple clustering models (KNN, DBSCAN).• Developed bespoke feature stores across web traffic and customer profile data for reporting and inputs to segmentation models.• Created demand forecasting models using MCMC, Lasso & Ridge regressions for customer service demand and deployment scheduling.• Created Power Bi reports over analysis, forecasts, PCA and factor analysis.TECHNOLOGIES• Python, Azure, MSSQL, Power Bi.• Spatial Clustering (KNN, DBSCAN), Sklearn, MCMC, regression models.

 Project scoping, planning and delivery, including technical architecture analysis for automation and security enhancements. Stakeholder management, business engagement and expectation management. Writing business requirements and infrastructure specifications. Gathering and documenting stakeholder requirements and gap analysis.

 Coordinating and managing delivery of technical analysis of infrastructure. Project scoping, planning and delivery, including technical architecture analysis for automation and security enhancements. Stakeholder management, business engagement and expectation management. Writing business requirements and infrastructure specifications.

 Coordinating and managing delivery of technical analysis of software and infrastructure Project scoping, planning and delivery management, including technical architecture analysis Stakeholder management, business engagement and expectation management Managing business analysis team and technical resources for project delivery Writing business requirements and application specifications Providing guidance and expertise for desktop and infrastructure design, usage and support Ensuring effective security of the organisation’s information systems and networks, including operational management of security technologies and processes. Managing implementation of security processes and controls as per business requirements, policies and reviewing periodically for ongoing validity. Investigating, responding to and reporting on security incidents and breaches. Review, assess and approve security aspects of all change requests as part of the Change and Release Function. (E.g. Firewall configuration, Group Policy changes, etc.). Provide technical advice to ad hoc security issues or queries. Engage with external vendors / consultants to undertake targeted security reviews when required.

 Technical analysis of customer needs with proposals and ongoing troubleshooting Design and develop bespoke customer solutions in multiple languages Stakeholder management, business engagement and expectation management Capture and document solution logic and process flow, using methods including Use Case, User Story and screen mock-ups Assisting in development of internal processes for project management and quality assurance

 Managed, trained and operated dynamic development team in fulfilment of multiple IT projects. Introduced tactical and strategic plans and designs for companywide IT infrastructure. Vendor management and assessment, including tender creation and evaluations. Designed and implemented automated quoting system project to reduce labour by 400%. Created and hired IT development team to ensure tactical and strategic plans are delivered. Delivered hosted MS CRM 2011 solution to manage existing clients and as a new selling feature.

 Managed IT development and analysis team, trained and mentored junior analysts. Designed and delivered international data systems integration project. Performed analysis of telemarking personal efficiencies and proposed and designed selected solutions. Identified and replaced old and ineffective IT systems such as legacy spread sheet reporting. Documented business intelligence solution using Microsoft technologies.

Using technical analysis and market harmonics for entry and exits across multiple timeframes.Trading a large bag of currencies intraday and long term.Trading research and analysis of multi-timeframe data and correlations.Programming custom indicators and pattern recognition systems using neural networks and genetic algorithms.

 Performed as PM, BA and developer for multiple projects, including forecasting system. Actively analysed and designed novel data capture and reporting systems for flight operations. Managed outputs and costing of multiple vendors, including Satyam and Tata Consulting Services. Documented and developed critical data integration system during large ERP deployment. Gathered and analysed requirements and gaps as part of ERP project deployment team.

 Delivered working CMDB for dynamic software and hardware asset management. Analysed and documented vendor and support strategy for both tactical and strategic timeframes. Represented management interests at Asia-Pacific alignment meetings.

 Managed over 20 IT support personal across 3 states, including head office. Successfully established formal IT support KPI’s and strategies to achieve. Delivered workstation monitoring and auditing capabilities without a formal budget. Documented and participated in SOE design and deployment project start-up.

 Managed multiple IT teams that successfully rolled out over 30,000 workstations nationwide. Directed and managed software package remediation of over 300 custom internal applications. 52 weeks of deployment target achievement, including introducing an automated auditing method. Engaged and liaised with vendors and senior management stakeholders regularly. Introduced transparency reporting for software and asset management deployment.

 Performed desktop support at 2nd and 3rd levels across 20,000, mixed Mac/PC environment. Mentored and lead small teams as part of hardware/software upgrade projects.