Erin Gilheany

• Developed end-to-end risk based pricing tools that expanded our business offering from the fleet market to the 20% more profitable private and small business market.
• Developed a frequency, severity and cost per car modelling framework, reducing full model build and refresh to be completed in less than 1 week.
• Built infrastructure frameworks for analytics applications to be used within the business, enabling central build, control and management of IBNR and pricing tools.

Tech: Amazon Web Services (Redshift, S3, SageMaker, Lambda), Python, Docker, Jenkins, Git, Qlik Sense, Airflow

• Led Customer Revenue Prediction model that reduced unprofitable retention marketing spend in US market by 50%.
• Machine Learning Lead within cross competence team, planning
  associated analytical work, working directly with various
  stakeholders across organisation
• End to end ML lifecycle implementation of revenue prediction
  model to enable optimised targeting and consumer level decisions
  within marketing and underwriting
• Deployed and maintained automated batch scoring service on AWS infrastructure
• Deep dives, storytelling and sizing opportunities to enable investment and strategic decision making by c-suite executives and product managers.

Tech: R, R Shiny, SQL Server, Salesforce, Command Line Interface (CLI), Git

Senior Data Scientist (2021 - 2022)

• Analytical lead for enterprise wide strategic project, involving acquisition of transformative tools within marketing, operations and loyalty business areas, with over 2 million EUR invested.
• Interpersonal leadership role, specifically recruited, on-boarded, mentored and developed team members, including data analyst and data scientist profiles
• Assessment and validation of strategic initiatives, with establishment and development of supporting dashboards and KPIs
• Review, feedback and contribution of multiple colleagues code, technical documentation, output and presentations
• Drive best practices, efficiency, generalisation and reproducibility in coding/processes.

Data Scientist (2018 - 2020)

• Promoted to Senior Data Scientist.
• Focused on customer related problems including segmentation, targeting, prioritization, personalisation and communications.
• Delivery of end-to-end analytical projects, both supervised and unsupervised, from requirements gathering, build, test, communication, implementation, support, maintenance and continuous improvement
• Collaborated with team to enhance overall value through adaptive data sources, strategies and methodologies.

Tech: Emblem, Radar, SAS, R, SQL Server, Excel

• Built first technical pricing models for Home Insurance policies within Liberty Insurance Ireland.
• Pricing Lead for Implementation and Testing of Pricing Model in Rating Engine.
• Ensure extensive data validation of underlying data.
• Proposed new automated pricing process to reduce time taken to build and validate model by 40%
• Committee member of Liberty's Global Data Science Community, responsible for organising Liberty's yearly internal data science conference.

Tech: SQL, Excel, Tableau, R

• Led analytics on new insurance model with allowed for increase of margin from 20% to 70+%.
• Developed all analytical processes around pricing and claims analysis based on new shared risk responsibility model that was implemented with partners AXA
• This included creating self-service Tableau dashboards for all interested parties within company, weekly reports to senior executives, strategic growth analysis for new markets and management of insurance pricing globally.