ali dandash

Completed intensive data science training with hands-on projects covering Python, SQL, and machine learning; implemented end-to-end workflows including cleaning, modeling, evaluation, and deployment.

Trained in core machine learning and deep learning concepts and built/deployed AI models using TensorFlow and Keras with Flask-based deployment for practical projects.

Trained remotely in data analysis and visualization, building dashboards and reports using Excel Power Query, SQL Server, Power BI, and Tableau to derive actionable insights.

Built and deployed a CNN to classify skin lesions as benign or malignant using TensorFlow/Keras, image augmentation, and a Flask web interface for image upload and prediction.

Built an interactive sales dashboard by connecting SQL Server to Excel Power Query, wrote SQL queries for KPIs, and summarized findings with actionable business recommendations.

Developed a fake news detection ML model using NLP preprocessing and Logistic Regression, and built a Streamlit front-end to demonstrate real-time predictions.

Grade: 3.7/4.00

Pursuing a Bachelor's degree in Computer Science and Information Technology with a major in Information Systems, focusing on data analysis, machine learning, and AI deployment.

Completed an AI training program (in collaboration with Huawei) focused on machine learning and deep learning with practical model development and deployment.

Completed an intensive Data Science course with hands-on projects covering Python, SQL, machine learning, and end-to-end data workflows.

Completed a Data Analysis course training in Excel (Power Query, dashboards), SQL Server, Power BI, Tableau, and Python for end-to-end analysis and reporting.