Data Analyst & Software Engineer (ETL/ML Enthusiast)

Seif Moustafa

Software Engineer Data Analyst & ETL AI & Machine Learning Enthusiast

****.************@*****.*** +20-102******* Cairo, Egypt LinkedIn GitHub Military Service: Complete

OBJECTIVE

Seeking a junior data analyst or data-driven role where I can apply my skills in data analysis, databases, and machine learning, while using my web development experience to support visualization, reporting, and interactive data solutions.

EDUCATION

Bachelor of Computers and Artificial Intelligence (Software Engineering) University: Helwan

09/2019 – 06/2024

Cairo, Egypt

GPA: 3.74 (Excellent)

American Diploma (SAT)

School: MIS

09/2008 – 06/2019

Cairo, Egypt

GPA: 3.8 (Excellent)

SAT 1: 1180

SAT 2: 1320

COURSES

Diploma

Route Academy

Front End Web Development (Angular)

06/2020 – 09/2020

Cairo, Egypt

SKILLS

Programming Languages

C, C++, Java, Python, JavaScript, PHP

Database Management

Microsoft SQL Server, MySQL, Oracle, T-SQL, PL/SQL, MongoDB, Firebase ETL Tools

SSIS, Alteryx

Data Visualization

Power BI, Tableau

AI/Machine Learning

Supervised Learning and Unsupervised Learning

Version Control

Git, Azure

Cloud & DevOps

Docker, AWS

Front End Technologies

HTML, HTML5, CSS, CSS3, Bootstrap, JavaScript, E6, jQuery, Angular, Vue Back End Technologies

PHP, Laravel, Django

Personal

Communication, Negotiation, Creative/Critical Thinking, Presentation, and Presales/Sale Opening EXPERIENCE

Web Developer (Internship)

National Telecommunication Institute

Developed web based applications using Angular, Node JS, and Firebase. Enhanced web development skills with PHP, Laravel, and MySQL. Gained proficiency in OOP, database management, SOLID principles, design patterns, and Software Engineering concepts.

12/2021 – 01/2022

Cairo, Egypt

PROJECTS

Crime Data Intelligence System

Executed an ETL pipeline using SSIS and Alteryx to extract, transform, and load a large crime dataset (100k+ records). Performed complex data cleaning and transformations, improving data quality by ~45%, and loaded the refined data into a data warehouse. Implemented clustered and non-clustered indexing, reducing query execution time from ~6s to ~2s (~65%), and built interactive Power BI dashboards to visualize crime trends and generate actionable insights for decision-makers.

Loan Status Prediction

Improved loan approval prediction accuracy by applying advanced data preprocessing, outlier handling, and stratified validation, increasing testing accuracy by ~8% and ensuring stable generalization across datasets. Tools: Python, Scikit-learn, SVM

Object Detection (Custom Dataset)

Developed a custom object detection model trained on a self-annotated dataset. Managed the full pipeline including data labeling, preprocessing, training, and evaluation. Improved detection performance by increasing accuracy, precision, and recall by ~20%, ensuring reliable object detection on new images. Image Classification using CNN

Implemented a Convolutional Neural Network (CNN) to classify images accurately using TensorFlow/Keras. Applied advanced deep learning techniques such as data augmentation, feature extraction, and k-fold cross- validation, increasing testing accuracy from ~75% to ~92%, and improving model generalization on unseen data.

CERTIFICATES

Advanced Learning Algorithms

Coursera

06/2025

Supervised Machine Learning: Regression and Classification Coursera

02/2025

Web Development using PHP, Laravel, and MySQL

NTI

01/2022

Web Development using Angular and Node JS

NTI

12/2021

LANGUAGES

Arabic: Native

English: Fluent

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