December2024-Present
November2024-Present
June 2024 - August 2024
- Taught Fundamental Computer Science concepts (programming basics, algorithms) and guided students through mobile app development projects using App Lab.
I conducted a comprehensive sales analysis by:
- Data Cleaning – Ensured accuracy and consistency in the dataset.
- Data Exploration & Analysis – Leveraged Pivot Tables to uncover insights.
- Data Modeling – Connected multiple sheets using Power Pivot for better integration.
- Key Business Questions – Identified and addressed crucial sales-related questions.
- Dashboard Visualization – Designed an interactive and insightful dashboard.
I conducted an in-depth analysis of movie ratings, covering:
- Exploratory Data Analysis (EDA) – Examined data distribution and extracted key insights.
- Data Cleaning – Removed null values and duplicates to ensure data quality.
- Data Insights & Business Questions – Identified patterns and answered critical questions.
- Data Visualization – Designed an interactive dashboard using Tableau for better understanding.
This analysis provides valuable insights into movie ratings, helping uncover trends and audience preferences..
- Developed a Story Image Generator Platform using Stable Diffusion XL for image generation and OpenAI GPT-3.5 for story creation.
- Technologies: Python, BLIP, CLIP for fine-tuning, Django for backend, HTML, CSS for frontend.
- Analyzed Spotify Tracks Dataset, performing data cleaning, feature engineering, and model prediction using Python.
- Visualized results on Tableau.
Project Link
- Data Import and Preprocessing: Imported the dataset, handled missing values, removed duplicates, and formatted the data.
- Data Validation: Used Power Query to ensure data accuracy and consistency.
- Exploratory Data Analysis: Utilized pivot tables to explore relationships, checked for outliers using box plots, and analyzed correlations with a heatmap.
- Data Visualization: Created visualizations to highlight key insights.
- Dashboard Creation: Developed an interactive sales dashboard in Excel based on the analysis.
- Data Import and Preprocessing: Imported the dataset, handled missing values, removed duplicates, and formatted the data.
- Data Validation: Used Power Query to ensure data accuracy and consistency.
- Exploratory Data Analysis: Utilized pivot tables to explore relationships.
- Data Visualization: Created visualizations to highlight key insights.
- Dashboard Creation: Developed an interactive dashboard in Excel based on the analysis.
- Downloaded the dataset.
- Removed duplicates using Excel.
- Cleaned data by using "Find and Replace" to standardize values with the same name.
- Added a new column, Age Brackets, to categorize the original Age column into more useful brackets.
- Created 3 pivot tables to summarize, aggregate, and visualize the data.
- Finally, built the dashboard to showcase key insights.
- Loaded, explored, and visualized IRIS Dataset. Built KNN, Logistic Regression, and Decision Tree models, compared their results.
- Technologies: Python, Pandas, Matplotlib.
Project Link
- Supervised Machine Learning (Coursera - Andrew Ng)
- Deep Learning and Neural Networks (Coursera - Andrew Ng)
- Unsupervised & Reinforcement Learning (Coursera - Andrew Ng)
- Data Analysis with Python (Jovian)
- Data Structures & Algorithms (180 Daraga)
- C++ Guides (Udemy)
- Python (Kaggle)
- Git & GitHub (YouTube)
- Data Analysis by Excel (Udemy)
- Deep Learning Specialization (Coursera- Andrew Ng)
- MLOps Fundamentals (Coursera- Andrew Ng)
- Orange Testing Workshop: Learned the basics of software testing.
- Coach Academy Organization: Trained in Data Types, Conditions, Loops, Arrays, and STLs.
- GDSC Machine Learning Workshop: Learned Python and analyzed datasets like Housing Dataset Analysis using Linear Regression and Clustering.
- ICPC-CU Community: Participated as a Bronze Level contestant in problem-solving contests.
- AI & ML Workshop Instructor | IMT School: Conducted an AI & ML Engineering workshop at Creativa Center, Banha, training participants on key concepts and practical applications in artificial intelligence and machine learning.
- Resume: Check out My Resume here
- Graduation: Cairo University, Faculty of Computers & Artificial Intelligence, AI Department.
- Reach me at: hamdisahar388@gmail.com
- Tableau Projects: Check them out here