Open to opportunities

Mohamed Gamal

@mohamedgamal2

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Data scientist with expertise in machine learning and AI solutions.

Egypt

Message

What I'm looking for

I am looking for a role that challenges my analytical skills and fosters innovation, ideally in a collaborative environment that values data-driven decision-making.

I am a professional data scientist with a Master’s degree in Artificial Intelligence and a Bachelor’s degree in Electrical Engineering. My experience spans various roles, including Data Scientist and Machine Learning Researcher, where I have developed and deployed scalable machine learning models to solve real-world problems. I am passionate about utilizing cutting-edge technologies to drive data-driven decision-making and predictive analytics solutions.

At Intelligent Valley, I have successfully designed and deployed machine learning models for demand forecasting and anomaly detection, improving operational efficiency by 20%. My research at Innopolis University contributed to the academic community with published papers, and I collaborated on cross-disciplinary projects that enhanced prediction systems by 15%. I thrive in environments that challenge my analytical skills and allow me to innovate.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

IntelligentValley

Mar 2023 - Present (2 years 4 months)

Developed and implemented advanced data analysis and machine learning algorithms to solve complex business problems in diverse industries. Designed and deployed ML models for demand forecasting and anomaly detection, improving operational efficiency by 20%.

Data Analysis Machine Learning Predictive Analytics MLOps Git CI CD

Machine Learning Researcher

Innopolis University

Sep 2021 - Present (3 years 10 months)

Conducted research in advanced machine learning techniques, contributing to the academic community with published papers. Developed advanced NLP and computer vision models for real-world applications, contributing to a 15% accuracy increase in prediction systems.

Machine Learning NLP Computer Vision Research

Data Science & Business Analytics Intern

The Sparks Foundation

Oct 2020 - Present (4 years 9 months)

Analyzed data from various sources for informed decision-making, resulting in a 20% improvement in data-driven decisions and strategies. Improved ML models using R, Python, and scikit-learn for predictive modeling and trend analysis, increasing forecast accuracy by 15%.

Data Analysis Machine Learning R Python scikit learn Predictive Analysis Trend Analysis

AWS Machine Learning Trainee

Amazon Web Services

Aug 2020 - Present (4 years 11 months)

Built technical capacities in AI and ML using cloud computing, reducing the average deployment time of AI projects by 30%. Accelerated implementation of AI and data analysis projects, leading to a 25% increase in overall project efficiency.

AI Machine Learning Cloud Computing AWS Data Analysis Project Efficiency

Freelance Data Scientist

Upwork

Jul 2020 - Present (5 years)

Completed multiple data science projects for diverse clients, increasing their operational efficiency by an average of 20% using performance metrics. Developed and optimized machine learning models using Python, R, and various ML libraries, improving prediction accuracy by up to 15%.

Data Science Machine Learning Python R Project Management Client Communication Performance Metrics

Education

Degrees, certifications, and relevant coursework

Innopolis University

MSc Data Science and Artificial Intelligence, Data Science and Artificial Intelligence

Activities and societies: Advanced Machine Learning, Advanced Statistics, Advanced Information Retrieval, Reinforcement Learning, NLP, Optimization, Big Data Technologies, Thesis: Sentence Complexity in Context with Syntactical Level

Focused on advanced machine learning, statistics, and information retrieval. Explored reinforcement learning, NLP, optimization, and big data technologies. Completed a thesis on sentence complexity in context with syntactical level.

Mansoura University

BSc Electronics and Communication Engineering, Electronics and Communication Engineering

Grade: Distinction

Activities and societies: Neural Networks, Image Processing, Data Structures and Algorithms, Applied Statistics, Digital Signal Processing, Communications Networks, Thesis: Sign Language Recognition in Real Time (Distinction, Award-winning)

Studied neural networks, image processing, data structures, and algorithms. Gained expertise in applied statistics, digital signal processing, and communications networks. Completed an award-winning thesis on real-time sign language recognition.