Ibrahim Essam
Data Scientist @ iLearn IAS Academy
About
As a Computer Engineering student with a passion for data, I thrive on transforming complex challenges into smart, data-driven solutions. With strong proficiency in Python, Power BI, and a fast-learning mindset, I specialize in uncovering insights that drive confident decision-making. I don’t just analyze numbers—I craft compelling data stories through dashboards and visualizations that empower individuals and organizations to take action. My goal is to grow into a data scientist who not only builds intelligent systems but also uplifts others by sharing knowledge and helping them achieve their goals.
Egypt
Az Zaqāzīq
Information Technology & Services
Presentation Skills, Business Intelligence & Freelancing, Statistical Data Analysis, Image Processing, C++, Data Collection, Artificial Neural Networks, Natural Language Processing (NLP), Firebase, C (Programming Language), Project Management, Computer Science, Android Studio, Software Development, Decision-Making, PyTorch, TensorFlow, Self Learning, Java, Communication
Experience

Data Analyst
Completed a rigorous 120-hour training program focused on the full data analysis lifecycle, achieving an "Excellent" performance rating from supervisors. Data Wrangling: Utilized Python (Pandas and NumPy) to clean, transform, and standardize complex datasets, identifying that 70-80% of project success relies on data quality. Database Management: Executed advanced SQL queries (SELECT, JOIN, WHERE) to extract and retrieve structured data from relational databases. Visualization: Designed interactive dashboards and reports using Business Intelligence tools to communicate actionable insights to stakeholders. Advanced Analytics: Gained exposure to Deep Learning foundations, including Artificial Neural Networks (ANNs) and frameworks like MindSpore/TensorFlow. Business Acumen: Acquired commercial skills through a dedicated 30-hour Freelancing module, covering project scoping, proposal writing, and client management.
Education

Focus: Specializing in Computer Engineering with a concentration on Artificial Intelligence, Machine Learning, and Embedded Systems (IoT). Key Academic Project: Developed an end-to-end Heart Disease Prediction System using Machine Learning techniques. Utilized Python (Scikit-Learn, XGBoost) for model building and PCA for dimensionality reduction, deploying the final solution via a Streamlit web interface. Achievements: Selected for the Digital Egypt Pioneers Initiative (DEPi) - Data Scientist Track (2025), a competitive scholarship program for advanced technology training. Completed specialized summer training at the National Telecommunication Institute (NTI) in Data Analysis, earning an "Excellent" performance rating. Relevant Coursework: Data Structures & Algorithms, Embedded Systems, Computer Architecture, Database Management Systems, Probability & Statistics.
Ibrahim Essam's Contact Information
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