About Me

A graduate engineer from the Department of Artificial Intelligence at the Faculty of Computers and Artificial Intelligence, Cairo University, I have a strong interest in the field of Data Science and extensive experience in working with and handling data. My passion lies in extracting valuable insights from data using advanced analytics and machine learning techniques to drive practical results. I am eager to contribute to projects involving data-related tasks and help achieve defined objectives.

Name: Youssef Hatem
Age: 22
Occupation: Data Science engineer

Experienced and results-driven Data Scientist Engineer with a proven track record of leveraging advanced analytics and engineering techniques to extract insights and drive business outcomes.My expertise lies in machine learning, statistical analysis, and data visualization, and I possess a strong foundation in software engineering principles.I am proficient in Python, SQL, Power BI, and various other data-related tools. My technical skills are complemented by strong soft skills, including problem-solving, critical thinking, and leadership. I am fluent in Arabic and have advanced proficiency in English.

Services

Predictive Modeling and Machine Learning

They build models to forecast trends and behaviors, applying algorithms for classification, regression, and clustering. These models optimize marketing strategies and operational efficiency. Predictive insights help personalize user experiences.

Natural Language Processing (NLP)

They develop models for text classification, sentiment analysis, and topic modeling. NLP solutions extract valuable information from textual data. They also build chatbots to enhance customer interactions.

Deep Learning

Specializing in neural networks, they train models for image recognition, speech processing, and language understanding. Using frameworks like TensorFlow, they push AI capabilities. These models drive innovation across industries.

Data Cleaning and Preprocessing

Experts in transforming raw data, freelance data scientists handle missing values, outliers, and inconsistencies. They ensure data quality through feature engineering. This foundational work enables accurate and reliable analysis.

Data Visualization

Creating compelling visualizations, they use tools like Tableau and Power BI to translate complex data into intuitive graphics. Interactive dashboards and charts aid strategic decision-making. Visualizations help stakeholders grasp key metrics quickly.

QA

Ensuring quality through rigorous testing methodologies and tools, they verify software functionality and performance. QA processes enhance product reliability and user satisfaction.

Portfolio

Skin Disease Application

The project aims to develop a mobile application featuring an initial dermatologist model for diagnosing skin diseases through visual examination of affected areas. Images of their skin conditions are uploaded by users, and the disease is diagnosed and information about it is provided by the app using a classification model.

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