Senior Python Engineer | Data Science Specialist | 10+ Years Experience
Leveraging a decade of Python engineering expertise across telecommunications, healthcare, and e-commerce to deliver cutting-edge data science solutions. Currently transitioning my deep technical background into advanced analytics and machine learning applications.
From Software Engineering to Data Science Innovation
With over 10 years as a Senior Python Software Engineer, I've built robust systems across diverse industries including telecommunications, healthcare, and e-commerce. My journey has given me a unique perspective: I understand both the engineering challenges of building scalable systems and the analytical power needed to extract meaningful insights from data.
Currently completing my Post Graduate Diploma in Data Science at Cairo University (GPA: 3.63, graduating January 2026), I'm building on my strong foundation in Electrical Engineering (BSc, GPA: 3.87). My background in signal processing, control theory, and MATLAB/Simulink provides me with mathematical rigor that enhances my approach to machine learning and statistical modeling.
My thesis research focuses on IoT-Enhanced Credit Card Fraud Detection Systems, where I'm developing hybrid machine learning approaches that combine supervised and unsupervised techniques. This work exemplifies my passion for solving real-world problems through innovative applications of technology and data science.
I'm actively freelancing on Upwork and building a portfolio of impactful projects—from fraud detection systems to customer churn prediction models. My goal is to help organizations leverage data for strategic decision-making while continuously pushing the boundaries of what's possible with machine learning and AI.
Comprehensive skill set across data science, analytics, and business intelligence
A track record of delivering impactful data solutions across various industries
Over a decade of building production-grade Python systems across diverse industries, with deep expertise in backend development, system integration, and scalable architecture design.
Building portfolio of data science projects while transitioning career focus. Delivering end-to-end machine learning solutions for diverse clients and developing open-source projects.
Conducting thesis research on IoT-Enhanced Credit Card Fraud Detection Systems, exploring hybrid machine learning approaches combining supervised and unsupervised methods.
Strong academic foundation and continuous professional development
2024 - 2026 (Expected)
Comprehensive graduate program covering machine learning, deep learning, statistical modeling, and big data analytics. Thesis research focuses on IoT-Enhanced Credit Card Fraud Detection Systems using hybrid ML approaches. GPA: 3.63/4.0
Graduated
Strong foundation in signal processing, control theory, circuit design, and MATLAB/Simulink. Specialized in telecommunications and embedded systems, providing mathematical rigor for data science applications. GPA: 3.87/4.0
Amazon Web Services
2023
2023
Microsoft
2022
Tableau
2022
DeepLearning.AI
2021
2021
Showcasing real-world data science solutions with measurable impact
Graduate thesis research developing hybrid machine learning system combining supervised classifiers (Random Forest, XGBoost) with unsupervised anomaly detection (Isolation Forest, Autoencoders). Integrates IoT sensor data for enhanced fraud detection accuracy. Comprehensive comparative analysis of detection approaches with focus on real-time performance and false positive reduction.
End-to-end machine learning pipeline implementing ensemble methods (Random Forest, XGBoost, Gradient Boosting) to predict customer churn with 94% accuracy. Features advanced feature engineering, SMOTE for imbalanced data handling, and interactive Streamlit dashboard for business stakeholders. Deployed with real-time prediction capabilities.
Interactive business intelligence platform providing comprehensive retail analytics including sales forecasting, customer segmentation, and inventory optimization. Implements time-series analysis using Prophet for demand forecasting and K-means clustering for customer behavior analysis. Features real-time KPI tracking and customizable reporting.
NLP-powered sentiment analysis application leveraging VADER and TextBlob for multi-dimensional sentiment scoring. Processes customer reviews, social media content, and product feedback to extract actionable insights. Includes aspect-based sentiment analysis and trend visualization for business intelligence.
Operations research application implementing linear programming and forecasting algorithms for inventory optimization. Uses Prophet for demand forecasting and optimization algorithms to minimize holding costs while maintaining service levels. Provides actionable recommendations for procurement and inventory management.
What clients and colleagues say about working with me
Senior Product Manager, TechCorp
Amr's expertise in machine learning and data analytics transformed our customer churn prediction system. His deep understanding of both engineering principles and data science resulted in a solution that exceeded our accuracy targets by 12%. Highly professional and detail-oriented.
VP of Operations, RetailSolutions Inc.
Working with Amr on our supply chain optimization project was outstanding. He delivered an end-to-end solution that reduced our inventory costs by 25% while maintaining service levels. His ability to translate complex data insights into actionable business recommendations is exceptional.
Head of Analytics, FinanceFirst
Amr's work on our fraud detection system was impressive. His background in electrical engineering and signal processing brought a unique perspective to anomaly detection. The hybrid ML approach he developed significantly improved our detection rates while reducing false positives.
Director of Marketing, E-Commerce Plus
The sentiment analysis tool Amr built for us has been a game-changer. It processes thousands of customer reviews daily and provides actionable insights that have directly improved our product development and customer service. Great communication and timely delivery.
Research Supervisor, Cairo University
Amr's graduate research demonstrates exceptional analytical thinking and innovation. His work on IoT-enhanced fraud detection combines rigorous academic methodology with practical application. His ability to bridge theoretical concepts with real-world solutions is commendable.
CTO, DataDrive Solutions
Amr's 10+ years of Python engineering experience really shows in the quality of his code. The retail analytics dashboard he built is not just visually impressive but also highly maintainable and scalable. His technical depth combined with business acumen makes him a valuable asset.
Open to exciting opportunities, consulting projects, and professional networking
I'm always excited to discuss new opportunities, challenging data problems, or potential collaborations. Whether you're looking for data science expertise, need consultation on analytics strategy, or simply want to connect and discuss the latest trends in AI and machine learning, I'd be delighted to hear from you.