Jean-Izak Howes
Windsor,VIC
Summary
Highly motivated and analytical with 7+ years of experience transforming data into actionable insights across industries like finance, government, and healthcare. Proven track record in utilising Python, R, SQL and statistical modelling to solve complex problems and drive business value. Strong communication and project management skills honed through diverse projects, enabling effective collaboration and stakeholder engagement.
Overview
8
8
years of professional experience
Work History
Senior Consultant
Deloitte
09.2021 - Current
- Uncovered hidden patterns and vulnerabilities through hypothesis-driven analysis, leading to the development of a predictive loss prevention model
- Led a comprehensive stakeholder engagement process to define Vanguard's future state as an Insights Driven Organisation, delivering a roadmap for prioritised initiatives and near-term execution
- Developed a user-friendly, client-facing dashboard that unpacks key video performance metrics, empowering data-driven decision-making
- Led the creation and delivery of data-driven insights for public health policy and operational improvements, including automated school-specific COVID-19 reports and rapid response to urgent inquiries.
Analyst
Quantium
09.2019 - 09.2021
- Built a data-driven automation platform that optimises campaign parameters for various marketing channels in real-time, leading to increased ROI and improved customer acquisition
- Developed a location-based clustering model that identified branch optimisation opportunities
- Developed and validated a comprehensive fraud prevention strategy that utilised data discovery, investigation, and monitoring techniques to ensure the effectiveness of existing products and identify potential vulnerabilities to address
- Cleaned and transformed data using Python and SQL scripts to build user-friendly dashboards for population demographics, migration trends, employment statistics, disease prevalence, healthcare access, and public health initiatives. These dashboards enabled users to filter, visualise, and export data, enhancing regional planning and resource allocation
- Conducted pre-work analysis to identify high-value conversations for senior VP at Wells Fargo informing development of Pega decision making
Quantitative Analyst
First National Bank (FNB), South Africa
01.2016 - 09.2018
- Developed highly accurate propensity models that increased customer conversion rates by 20% across three product lines
- Leveraged advanced machine learning techniques to design and implement a customer segmentation model that improved marketing campaign targeting
Education
Master of Science - Quantitative Risk Management
North-West University
Potchefstroom07.2016
Skills
- Data Analytics
- Big data analytics
- Time series analysis
- Statistical modelling
- Risk management
- Cluster analysis
- Linear regression
- Predictive analytics
- Machine learning
- Data visualization
- Project Management
- Effective Communication
Technologies And Skills
- Python
- R
- SAS
- SQL
- Databricks
- PowerBI
- GCP Looker
Industries And Summaries
- Banking – Credit acquisitions, propensity modelling, network optimisation, personalisation, forensic analytics, program analytics, data strategy
- Health – Campaign optimisation, data visualisations, insights generation, data democratisation
- Media – Video interaction data visualisations
- Retail – Workforce optimisation, loss prevention
Memberships And Professional Training
- SAS Visual analytics (2014)
- GCP Digital Leader (2023)
- Databricks Lakehouse Fundamentals (2023)
Timeline
Senior Consultant
Deloitte
09.2021 - Current
Analyst
Quantium
09.2019 - 09.2021
Quantitative Analyst
First National Bank (FNB), South Africa
01.2016 - 09.2018
Master of Science - Quantitative Risk Management
North-West University
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