Andrew Barwise
Oxford
Summary
Data-driven professional skilled in data science, analytics, and storytelling. Proven expertise in building predictive models, developing interactive visualizations, and implementing cloud solutions. Capable of transforming complex datasets into actionable insights, enhancing decision-making processes, and driving improvements in operational efficiency. Certified in Azure, AI, and Databricks, with a passion for innovation and continuous learning.
Overview
5
5
years of professional experience
1
1
Certification
Work History
CONTRACT DATA ANALYST
Intuit
06.2025 - 08.2025
- Conducted correlation analysis and regression modeling in Databricks using Python and PySpark to examine customer satisfaction (tNPS) and its relationship with operational and customer features, providing senior leadership with targeted insights to drive strategic initiatives.
- Analyzed case resolution performance across global BPO partners, delivering comprehensive breakdowns of time-to-close metrics by location and product family to identify and address operational inefficiencies.
- Counseled stakeholders on the strengths, limitations, and ethical considerations of using Generative AI to analyze extensive customer service logs, ensuring informed decision-making.
- Delivered ad-hoc analyses in Databricks, leveraging Python and PySpark to generate actionable insights that supported strategic decision-making for customer success and operations teams.
DATA SCIENTIST
Dunnhumby
10.2024 - 02.2025
- Developed advanced predictive models for product demand forecasting, significantly enhancing operational efficiency and enabling data-driven decision-making.
- Optimized a regression model for dynamic product demand predictions, preserving profit margins through strategic vendor funding.
- Achieved a significant reduction in runtime by up to 75% through model optimization, greatly improving computational speed and scalability.
- Streamlined data workflows by transitioning from Jupyter notebooks to automated Python scripts and shell files, enhancing maintainability and reproducibility.
- Trained and fine-tuned a Sentence Transformer model on the Hugging Face platform using PyTorch, optimizing embeddings for semantic similarity and natural language understanding tasks.
DATA SCIENCE TRANSFORMATION LEAD
AXA Insurance
03.2023 - 10.2024
- Spearheaded transformation initiatives to foster innovation, automation, and strategic insights across the organization, boosting business efficiency.
- Offered technical expertise and guided teams on best practices in data science and analytics, nurturing a culture of excellence.
- Established an Azure DevOps workspace for the Claims Insights team, facilitating the migration of Databricks notebooks and mentoring team members on Git best practices.
- Designed financial models using PySpark and integrated insights into Power BI dashboards to inform decision-making processes.
- Developed data quality validation pipelines, ensuring accuracy and consistency across multiple data sources, thereby enhancing confidence in outputs.
DATA SCIENTIST
Freelancing
03.2023 - 10.2024
- Directed multiple data science projects across various industries, delivering insights and predictive models that improved decision-making and business efficiency.
- Created an interactive Power BI dashboard, allowing stakeholders to track performance and define KPIs through intuitive visualizations.
- Conducted a K-S test for a Transformer model, providing statistical validation of model reliability and refining predictive analytics strategy.
- Achieved approximately 5% profitability with a deployed machine learning model for horse racing markets, enhancing the trading environment using Git and MySQL.
- Developed automated ETL pipelines to streamline data ingestion and preprocessing, boosting model efficiency.
DATA ANALYST
Western Power
10.2021 - 12.2022
- Developed a Power BI dashboard providing real-time visibility into Customer Connection Services (CCS) project stages, enabling effective project monitoring through SQL-based ETL processes.
- Analysed dispatcher workloads and developed optimised rosters, reducing labour costs while enhancing workforce efficiency.
- Consolidated SQL databases into a unified dataset to facilitate the transition to LED streetlights, automating data cleaning using Python.
- Designed a Streamlit web application for real-time pit inspections, integrating photo uploads and geolocation tracking, thereby reducing reporting delays.
- Implemented geospatial visualisations for predictive maintenance, improving infrastructure health monitoring.
DATA ANALYST
Bis Industries
01.2021 - 10.2021
- Developed a Python-based automation pipeline for speed reports, reducing manual reporting effort by 80%.
- Built a predictive model for fatigue events among truck drivers, providing predictive insights to support safety initiatives.
- Conducted employee retention analysis using survival analysis and Cox Proportional Hazards modeling to inform HR strategies.
- Created an integration framework to identify non-compliant drivers, enhancing safety monitoring through automated compliance tracking.
Education
Master of Data Science -
University of Western Australia
Perth, Western Australia01.2020
Bachelor of Economics - Double Degree
University of Western Australia
Perth, Western Australia01.2016
Trade, Development, and the Environment -
London School of Economics
London, United Kingdom07.2015
Skills
- Machine Learning & AI: Predictive Modeling Time-Series Forecasting NLP TensorFlow PyTorch Scikit-Learn
- Data Engineering & Big Data Processing: ETL Pipelines Automated Workflows Python SQL PySpark Databricks
- Statistical Analysis & Optimization: Regression Analysis Hypothesis Testing Survival Analysis
- Cloud & DevOps: Azure DevOps CI/CD Data Workflows Git
- Data Visualization & Business Intelligence: Power BI Matplotlib Seaborn
- Feature Engineering & Model Efficiency: Advanced Feature Extraction Model Optimization
- Process Automation & AI Integration: Analytical Workflows Python Anaconda
- Data Governance & Quality Assurance: Data Validation Pipelines Consistency Monitoring
- Strategic Problem-Solving & Critical Thinking: Cross-Functional Collaboration Data-Driven Strategies
Certification
- Microsoft Certified: Azure Data Scientist Associate | | 2022-03
- Microsoft Certified: Azure AI Fundamentals | | 2022-02
- Databricks Certified Data Engineer | | 2023-03
- Scalable Machine Learning with Apache Spark | | 2023-07
LANGUAGES
English - Native
Timeline
CONTRACT DATA ANALYST
Intuit
06.2025 - 08.2025
DATA SCIENTIST
Dunnhumby
10.2024 - 02.2025
DATA SCIENCE TRANSFORMATION LEAD
AXA Insurance
03.2023 - 10.2024
DATA SCIENTIST
Freelancing
03.2023 - 10.2024
DATA ANALYST
Western Power
10.2021 - 12.2022
DATA ANALYST
Bis Industries
01.2021 - 10.2021
Master of Data Science -
University of Western Australia
Bachelor of Economics - Double Degree
University of Western Australia
Trade, Development, and the Environment -
London School of Economics
References
- Tina Dinardo, Tina.Dinardo@westernpower.com.au, 0061 407 158 676, Western Power
- Harrison Stein, Harrison_Stein@intuit.com, 07717 413914, Intuit
- Amy Christophorou, amy.christophorou@axa-insurance.co.uk, 07866 301645, Axa Insurance
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