Open to opportunities

Sara Moussa

@saramoussa

Data Science and AI graduate building machine learning and computer vision solutions through hands-on internships and projects.

Egypt

Message

What I'm looking for

I’m looking for an entry-level role where I can build and deploy AI/ML and computer vision systems, turn data into actionable insights, and grow with a collaborative team.

I’m a Data Science and Artificial Intelligence fresh graduate from Zewail City of Science and Technology, with hands-on experience across Data Science, Machine Learning, Deep Learning, Computer Vision, Big Data, and MLOps through internships and technical projects. I’ve developed AI-powered applications and data-driven solutions, and I enjoy translating complex modeling work into practical outcomes.

In recent roles, I built and fine-tuned computer vision models with PyTorch, YOLO, and TensorRT, optimized deployment using ONNX export plus FP16/INT8 quantization, and used MLflow for experiment tracking and benchmarking. I also worked on predictive analytics and dashboards with Python, Google Colab, PostgreSQL, and Looker Studio, and I’ve created end-to-end systems like a real-time recommendation engine with Apache Spark, Kafka, and MLlib and a Flask-based sentiment app using BERT and RoBERTa.

Experience

Work history, roles, and key accomplishments

Current

Coding Instructor

Current

Digital Egypt Cubs Initiative (DECI)

May 2026 - Present (2 months)

Delivered Python programming and computer science instruction through interactive lessons and in-person school sessions. Mentored students in problem-solving, algorithms, debugging, and computational thinking.

Python Instructing Problem Solving Algorithms Debugging Computational Thinking

Data Visualization Associate Intern

Excelerate & Saint Louis University

Sep 2025 - Oct 2025 (1 month)

Performed dataset cleaning and exploratory data analysis using PostgreSQL to identify metrics, trends, and patterns. Built interactive dashboards in Google Looker Studio to support stakeholder decision-making.

PostgreSQL Data Cleaning data preprocessing

AI-Powered Data Insights Intern

Excelerate & Rochester Institute of Technology

Sep 2025 - Oct 2025 (1 month)

Analyzed and preprocessed datasets using Python and Google Colab to support machine learning workflows. Conducted EDA and data visualization, built predictive analytics models, and translated findings into actionable recommendations.

Python Google Colab data preprocessing Data Visualization Machine Learning Predictive Analytics

Data Analyst

US Real Estate Industry

Jun 2024 - Oct 2025 (1 year 4 months)

Cleaned, processed, and analyzed large-scale real estate datasets to support lead qualification and business decision-making. Developed and maintained KPI dashboards to visualize performance metrics across the sales pipeline.

Data Cleaning Data Processing Data Analysis KPIs Lead Qualification Sales Pipeline

Machine Learning Intern

A-eye Tech

Aug 2025 - Sep 2025 (1 month)

Developed and fine-tuned computer vision models using PyTorch, YOLO, and TensorRT. Applied MLflow for experiment tracking and optimized deployments via ONNX export, FP16/INT8 quantization, and inference acceleration.

PyTorch YOLO TensorRT MLFlow Onnx Quantization FP16 INT8 Face Recognition Deep Learning Faiss

Software Development Intern

Quanvex Technology Solutions

Aug 2025 - Sep 2025 (1 month)

Developed AI-powered voice assistant solutions using Voiceflow and integrated conversational workflows into web applications. Supported Oracle ERP customization in Ubuntu/Linux environments and collaborated in Agile/Scrum development activities.

Voiceflow Web Applications Oracle ERP Ubuntu Agile Scrum Sprint Planning SDLC Enterprise Software

Education

Degrees, certifications, and relevant coursework

Zewail City of Science and Technology

Bachelor of Science, Data Science and Artificial Intelligence

2022 - 2026

Grade: A

Bachelor of Science in Data Science and Artificial Intelligence at Zewail City of Science and Technology (2022–2026). Graduation project: Smart Pre-recycling, a multi-model AI system for intelligent waste classification (Grade: A).