Roxana Esmaeili

Data Science · Artificial Intelligence · Analytics

Roxana Esmaeili

Final-year Data Science & AI Student

University of Portsmouth

Expected First Class Honours

Building practical AI, machine learning and data analytics solutions that transform complex data into meaningful insights and real-world impact.

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About me

Combining technical skills with practical experience

I am a final-year Data Science and Artificial Intelligence student at the University of Portsmouth with professional experience in AI, data analytics and IT support. I enjoy transforming complex data into practical solutions using machine learning, data visualisation and software development.

Through my degree, professional roles and personal portfolio, I have developed practical skills in machine learning, data analysis, database systems and software engineering. I enjoy solving real-world problems with data and am currently seeking a graduate opportunity in Data Science, Data Analytics, Machine Learning or Artificial Intelligence.

Projects

Selected work

Sports Image Classification

Sports Image Classification

Deep Learning / Computer Vision

Developed and compared deep learning models using transfer learning to classify sports images. Evaluated ResNet18 and EfficientNet based on accuracy, precision, recall and F1-score.

PythonPyTorchResNet18EfficientNetComputer Vision

GitHub →

Movie Recommendation System

Movie Recommendation System

Recommendation Systems / Collaborative Filtering

Built a movie recommendation system using collaborative filtering techniques to generate personalised recommendations. Explored user-based and item-based similarity approaches using the MovieLens dataset.

PythonPandasNumPyScikit-learnCollaborative FilteringMovieLens

GitHub →

IMDb Sentiment Analysis

IMDb Sentiment Analysis

Natural Language Processing / Classification

Built an NLP classifier for IMDb movie reviews using TF-IDF and GridSearchCV. Compared Gradient Boosting, Random Forest, LinearSVC and SVC, with cross-validation F1-scores of 0.775 for LinearSVC and 0.778 for SVC.

PythonScikit-learnNLPTF-IDFGridSearchCVSVC

GitHub →

AI Job Market Analysis

AI Job Market Analysis

Data Analysis / Visualisation

An exploratory data analysis project examining salaries, roles and trends in the artificial intelligence job market. Identified key insights through data cleaning, visualisation and statistical analysis.

PythonPandasNumPyMatplotlibSeaborn

GitHub →

Employee Attrition Prediction

Employee Attrition Prediction

Machine Learning / Classification

A machine learning project comparing classification models to understand and predict employee attrition. Evaluated model performance using accuracy, precision, recall and F1-score to identify the most effective approach.

PythonScikit-learnMachine Learning

GitHub →

CarCare Database

CarCare Database

SQL / Database Design

A relational database designed for managing vehicle services, bookings, staff, parts and workshop operations.

SQLDatabase DesignERD

GitHub →

Experience

Professional experience

Digital Services & AI Assistant

KnowNow Information Ltd

April 2025 – Present

Supporting data analysis, AI tools, reporting, documentation and digital content in a professional business environment.

Student Summer Placement

University of Portsmouth

June 2025 – September 2025

Supported university IT services through device upgrades, software installation, troubleshooting and technical assistance.

Data Analyst Intern

UpTrail

June 2025 – July 2025

Completed data cleaning, exploratory analysis and reporting using a real-world dataset during a remote internship.

Skills

Technical Skills

Programming

PythonTypeScript

Data & Analytics

PandasNumPyPower BIData Visualisation

Machine Learning

Scikit-learnModel EvaluationFeature Engineering

Databases

SQLDatabase DesignERD DesignNormalisationComplex SQL Queries

Tools & Web

GitGitHubNext.jsReactTailwind CSS

Education

Academic background

BSc Data Science and Artificial Intelligence

University of Portsmouth

2024 – 2027

Studying data analysis, machine learning, artificial intelligence, databases, software engineering and statistical methods.

🎓 Expected First Class Honours

Machine Learning: 90%Finance & Investment Analysis: 87%Expected Graduation: 2027

CONTACT

Let's build something together

I'm currently seeking graduate opportunities in Data Science, Artificial Intelligence and Machine Learning. If you'd like to discuss opportunities, projects or collaborations, I'd love to hear from you.

© 2026 Roxana Esmaeili. Built with Next.js & Tailwind CSS.