Summary
Overview
Work History
Education
Skills
ADDITIONAL STRENGTHS
Certification
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Timeline
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Aya Tantaoui

Hatfield

Summary

Recent Computer Science (Artificial Intelligence) graduate with experience in Data Science and Machine Learning. Skilled in Python, machine learning, and data-driven development, with hands-on experience building and deploying predictive models in production-like settings. Adept at working collaboratively in cross-functional teams and communicating complex insights in clear, accessible ways. Eager to contribute to Cleo’s mission of transforming financial health through innovative AI-driven solutions.

Overview

1
1
year of professional experience
1
1
Certification

Work History

Data Science Placement

Legal and General
07.2023 - 08.2024
  • Analysed complex financial and customer datasets to identify trends, patterns, and actionable insights that supported data-driven decisions across business units.
  • Built and deployed machine learning models to predict customer behaviour, with a focus on transparency and explainability using techniques such as SHAP and LIME.
  • Developed data pipelines for extracting, cleaning, and analysing large transactional datasets to support decision-making and improve customer outcomes.
  • Wrote clean, object-oriented Python code using libraries such as Pandas, NumPy, and Scikit-Learn; versioned code using Git.
  • Contributed to iterative model improvement and performance monitoring in production-like environments.
  • Applied the full data science product lifecycle on projects: exploratory data analysis, model development, evaluation, deployment, and monitoring.
  • Worked cross-functionally with finance, product, and technology teams to integrate data science solutions and align models with business objectives.
  • Visualised data insights through dashboards and presentations, enabling clear communication of findings to technical and non-technical audiences.
  • Prepared reports and visualisations communicating data-driven findings clearly to both technical and non-technical audiences.
  • Used git and GitHub for version control and collaboration

Education

B.Sc. - Computer Science, Artificial Intelligence

University of Hertfordshire
Hatfield
05.2025

Skills

  • Skilled in data manipulation and analysis using SQL and Python
  • Machine Learning & AI: Predictive Modelling, Time Series Forecasting, Explainable AI (SHAP, LIME, ALIBI), XGBoost, Scikit-Learn
  • Distributed Systems & Tools: Snowflake, Dataiku, MLflow (very familiar), Git, Version Control
  • Data Analytics: Data Mining, Segmentation, Regression, Trend Analysis, Data Cleaning, Data Validation
  • Visualization: Power BI, Tableau (familiar), Dataiku Dashboard
  • Other Strengths: Analytical Mindset, Clear Communication, Agile Team Collaboration, Solution-Oriented Thinking

ADDITIONAL STRENGTHS

  • Strong problem-solving mindset with experience applying machine learning to real-world data challenges.
  • Enthusiastic about working on AI solutions that directly improve users' financial health and access to services.
  • Passion for building inclusive, user-focused technology and contributing to a positive, mission-driven culture.

Certification

Google Data Analytics Professional Certficate July 25 2022

  • Processing data from dirty to clean, Preparing data for Exploration, Data Analysis with R programming, Analyzing data to answer questions, Share Data through the Art of Visualization


C for Everyone: Programming Fundamentals August 11 2022

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Timeline

Data Science Placement

Legal and General
07.2023 - 08.2024

B.Sc. - Computer Science, Artificial Intelligence

University of Hertfordshire

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Aya Tantaoui