Umme Fahad

Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals.

• Lung Cancer Prediction Project- Cleaned and analyzed data, employing advanced techniques such as linear regression, logistic regression, and decision trees to achieve precise lung cancer predictions.
• Lead Score Case Study-Orchestrated a high-impact lead scoring case study, delivering exceptional metrics.
• HR Analysis Dashboard (Power BI)- Unveiled compelling insights in workforce analytics using the HR Analysis Dashboard developed in Power BI.
• Web Scraping and Text Analysis Project, Successfully extracted valuable data from diverse websites through web scraping, followed by a comprehensive text analysis to derive meaningful insights.
• Iris Clustering Analysis with K-Means- Applied K-Means clustering to unravel four distinct groups within the Iris dataset, providing deeper insights into the characteristics of these flowers.