Dec 2022 – Sep 2023 · 9 mos · Australia

• Prospection is the first global RWD
• insights-as-a-service platform facilitating value evidence generation and real-time patient journey intervention. We help #biopharma and #biotech companies to
• accelerate critical insights to quantify, intervene, and improve the patient journey
• With insights on nearly 500M patients in 9 countries across the US, Japan, Australia, and the Asia Pacific Prospection is the preferred, published, multinational partner driving innovation for life science companies.
• As the Head of Data and Product, I work with an amazing group of product managers, analytics and data experts, designers, engineers, and data scientists to define and execute Prospection’s global product strategy, scale our proprietary data platform and innovate new ways of using data in healthcare as we work with our customers and partners around the world to put the right patients, on the right treatment, at the right time.

Dec 2021 – Dec 2022 · 1 yr · Australia

• Responsible for executing and refining Prospection Product Strategy across global markets, innovating state of the art solutions in health and patient care with data and AI tech.

Jun 2018 – Nov 2021 · 3 yrs 5 mos · Melbourne, Australia

• In 2018, Oracle acquired Aconex into Construction and Engineering Global Business Unit (https://bit.ly/32S6A5K).
• Led the global product strategy for analytics and data science at Oracle Construction and Engineering Global Business Unit. I was responsible for product strategy and innovation across all analytics capabilities within the CEGBU product suite - Oracle Aconex, Primavera Cloud, Primavera P6 EPPM, Unifier & Textura (https://bit.ly/3DqWuW0).
• I also led the creation of a new AI-powered project risk management solution, Construction Intelligence Cloud (https://bit.ly/3oo4YsT) from the ground up, and launched the product globally.

Nov 2016 – May 2018 · 1 yr 6 mos · Melbourne, Australia

• Aconex (ASX:ACX) is the leading cloud collaboration platform for the global construction industry with more than 65,000 user organizations and over $1 trillion of project value delivered in more than 70 countries. Founded in 2000, Aconex has 52 offices in 28 countries around the world, including headquarters in Melbourne, Australia and San Francisco, California.
• As the Manager, Analytics and Insights at Aconex , I’m responsible for delivering complex analytics and actionable insights for internal and external key stakeholders that will provide critical information to drive business decision making.
• My Responsibilities Include:
• Lead the design, development and delivery of data science capabilities, analytics and insights to key stakeholders.
• Build a blueprint for internal analytics capability, drive Data Science initiatives, methodology and infrastructure for Aconex, including the systems, process and measures to reliably produce a measure of customer engagement and insights into improvement opportunities for the business to execute.
• Develop reporting and analysis capability to strategically leverage big data within the Aconex platform.
• Deliver insights and recommendations based on data on strategic and topical issues to Aconex business stakeholders and clients.

Oct 2015 – Nov 2016 · 1 yr 1 mo · Greater Melbourne Area

• Responsible for driving the learning analytics vision and driving data-driven decision making within the organization collaborating with the BI team.
• Responsible for building the learning analytics core team of 5 and scaling up to meet the delivery demands.
• Responsible for recruiting, on-boarding new members, performance reviews and development.
• Mentor and lead data analysts and engineers to best practices and ROI driven development.
• Senior management reporting around progress, costing, resourcing, risks and opportunities.
• Consult internal and external clients to understand problems and create data driven solutions.
• Research and evaluate new technologies to incorporate into the analytics platform.
• Working with internal business lines to understand strategic alignments to maximize ROI.
• Integrating analytics features with existing business processes and workflows to maximize the
• impact of insights and predictions.
• Responsible for leading the analytics product feature prototyping and development.
• Responsible for process improvements around development, stakeholder engagement, resourcing,
• budgeting and communications.
• Responsible for leading R&D efforts.

Apr 2014 – Nov 2016 · 2 yrs 7 mos · Greater Melbourne Area

• Responsible for the development of learning analytics product from concept and development
• through the full product life-cycle up to commercialization.
• Responsible for driving the analytics vision, data-driven decision-making capabilities using the
• analytics platform within the organization.
• Delivered the platform to 4 internal and number of external clients.
• Develop product roadmap aligning to overall business strategy, market trends and budgets.
• Prepare business cases for larger initiatives defining scope, ROI, cost and timeline to get
• executive and board approvals.
• RFP response preparation and estimation for potential clients.
• Working closely with internal and external clients to understand new product requirements,
• managing priorities and delivery pipeline.
• Managing agile delivery pipeline, timelines, resourcing to ensure product delivery on-time,
• on-budget.
• Conducted RFI/RFP process for vendor selection and product selection.
• Conduct product presentations and showcases to internal and external stakeholders.
• Responsible for identifying product costs and providing cost estimates for product pipeline.
• Worked closely with the agile team of 5-14 members, leading them towards the product vision.
• Experience with contract negotiations on third party products, licences and contractors.
• Scrum mastering the team and business analysis in the cases of resource limitations.
• Ensure clear communication with internal and external stakeholders to manage delivery expectations, scope, due dates, blockers.
• Consultation with legal, accessibility and marketing to ensure products fits the organizational
• requirements and compliance requirements.

Sep 2013 – Oct 2015 · 2 yrs 1 mo · Greater Melbourne Area

• I am part of the team that shapes the evolution of applied research and learning analytic framework within the organisation liaising with stakeholders in other business units.
• Developed OUA learning analytics platform from concept to a commercial product, using best
• practices of cutting edge analytics and data science.
• Responsible for understanding organizational data, recognizing the business value, and derive
• insights to consult executives on a daily basis.
• Responsible for understanding common business problems in student retention, student success
• and developing analytical features to address them.
• Created predictive models for student retention, early intervention and at-risk detection that
• has a direct impact on the bottom line.
• Used of R, Vertica analytics databases, SPSS, and GoodData BI to develop machine learning
• and predictive capabilities, reporting capabilities and create numerous features.
• Developed extensive SQL scripts for databases such as Vertica, Oracle, Postgres and MySQL.
• Designed, implemented and delivered analytics solutions to meet external customer requirements.
• Researched and evaluated new technologies to incorporate into the analytics platform.
• Mentored and lead data analysts and engineers to best practices and ROI driven development.
• Evaluate third party products for integration and technical assessment of RFPs.
• Developed and supported extensive ETL framework on IBMdatastage, CloverETL and CloudConnect.
• Provided level 3 support, bug fixing and problems resolution around full analytics products.
• Worked with 4 external clients to create platform integrations, understanding client source
• data, mapping and developing ETLs acting as the SME.
• Provided QA consultations and developed an automated data quality test framework.
• Guided team members with best practices such as code review, version control and TDD.

Mar 2010 – Jan 2014 · 3 yrs 10 mos

• Developing machine-learning based techniques and tools for automated diagnosis of network failures in end-user devices towards efficient and low-cost customer support. This work was done in collaboration with domain experts from Telstra's CTO office. Tresearch includes capturing data from networks, information extraction, data manipulation, network modeling, pattern recognition, data mining, and end-to-end system building.
• Intelligent Automated Network Diagnostic (IAND) System – Principal investigator.
• Developing machine-learning based tools for automated diagnosis of network faults at end-user.
• Developing data mining, regression, and analytics techniques with large datasets.
• Extensive use of Matlab, LibSVM, WEKA, and R platforms pattern analysis.
• Use of Supervised (SVM, Naive bayes, Neural Networks, Decision Trees) and Unsupervised
• (k-means, Fuzzy C-means clustering) machine learning techniques.
• Behaviour modeling using regression techniques.
• Extensive use of data manipulation and complexity reduction (Principal Component Analysis
• (PCA), Linear Discriminate Analysis (LDA)) techniques.
• Preparing technical documentations and drawings.
• Network Signature Storage and Analysis Platform (N2SAP) – Technical lead
• System for efficient long term archiving and retrieval of millions of network signatures with
• public access and cloud-based analysis.

Mar 2010 – Aug 2013 · 3 yrs 5 mos

• Lab demonstrating and tutoring undergraduate modules.
• ECE2041: Telecommunications
• ECE4042: Information theory
• ECE2021: Electromagnetism

Aug 2009 – Feb 2010 · 6 mos · Colombo, Sri Lanka

• Maintained and monitored RADIUS Authentication, Authorization, and Accounting (AAA) services.
• Liaised with other divisions to resolve issues and maintain service availability.
• Investigated hardware stability issues in HP-ProLiant server/Red-Hat Enterprise Linux cluster
• and implemented improvements.
• Implemented new critical services in cluster environment for high-availability.
• Maintained detailed system logs, SQL databases, and periodic backups.
• Provided support for system migration projects.

Oct 2008 – Mar 2009 · 5 mos · Cyberjaya, Malaysia

• Involved in the development of Panasonic High Definition Visual Communication (HDVC) system as testing Engineer.
• Created network testbed using dummynet for HDVC QoS testing.
• Perl, Shell, and PhP scripting for running the experiments.
• Conducted end-to-end system testing for identifying software bugs.
• Prepared testing reports.