Summary
Overview
Work history
Education
Skills
Timeline
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Aoife Garry

Clane,Ireland

Summary

Business Analytics graduate (2:1, TU Dublin) with strong analytical, technical, and communication skills. Experienced in using data-driven insights and machine learning to support strategic decision-making and operational efficiency. Skilled in managing cross-functional projects, interpreting complex datasets, and delivering product-focused solutions. Keen to contribute to innovative, data-led product operations at Fenergo.

Overview

1
1
year of professional experience
4
4
years of post-secondary education

Work history

Predicting Factors Influencing Road Accidents,

TUD
09.2024 - 05.2025
  • Built predictive models (Random Forest, Logistic Regression, XGBoost) to assess traffic accident severity using UK datasets.
  • Applied reverse geocoding to enrich data with regional/spatial features, enhancing model inputs.
  • Conducted data cleaning, feature engineering, and model evaluation (F1-score, ROC-AUC).
  • Demonstrated how advanced analytics can guide real-world decision-making in areas like insurance risk and safety ops.

Global Innovations Project

Food Safety Authority of Ireland
01.2024 - 05.2024
  • Collaborated with Business and Computer Science students to design and deliver a cross-platform mobile application for the Food Safety Authority, available on both iOS and Android
  • Served as Head of Communications, coordinating meetings, managing stakeholder communications, and ensuring alignment across technical and business teams
  • Applied Agile Scrum methodology to manage timelines, distribute workloads, and drive iterative development
  • Gained hands-on experience with mobile development tools (Dart and Flutter) and stakeholder-focused product delivery
  • Delivered a fully functioning app that met client expectations, demonstrating strong project management, communication, and technical execution

Predictive Waste Management Project

TUD
09.2024 - 01.2025
  • Developed an AI-powered waste classification system utilising Convolutional Neural Networks (CNNs) to efficiently and accurately categorise materials such as paper, plastic, glass, metal, and organic waste.
  • Managed and curated a comprehensive labelled dataset, ensuring data quality for robust model training and reliable performance metrics.
  • Implemented and fine-tuned multiple pre-trained CNN architectures, achieving classification accuracy exceeding 90%, demonstrating strong analytical and technical problem-solving skills.
  • Delivered actionable insights from model performance to support environmental sustainability initiatives, showcasing the application of data analytics in real-world scenarios.

Education

Bachelor of Science - Business Analytics

Technological University Dublin
09.2021 - 05.2025

Skills

  • Data analysis & performance metrics (Excel, Power BI, SQL)
  • Performance metrics tracking (model and project-level)
  • Agile project management (Scrum methodology)
  • Communication & stakeholder engagement


  • Cross-functional team collaboration
  • Technical tools: Python, Excel, Power BI, SQL
  • Familiarity with mobile development (Dart/Flutter)
  • Strong attention to detail & problem-solving


Timeline

Predicting Factors Influencing Road Accidents,

TUD
09.2024 - 05.2025

Predictive Waste Management Project

TUD
09.2024 - 01.2025

Global Innovations Project

Food Safety Authority of Ireland
01.2024 - 05.2024

Bachelor of Science - Business Analytics

Technological University Dublin
09.2021 - 05.2025

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Aoife Garry