Skip to content
View ZuhalAmarkhil's full-sized avatar
Block or Report

Block or report ZuhalAmarkhil

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
ZuhalAmarkhil/README.md

Welcome to My GitHub Profile! 👋

About Me:
I am passionate about Data Science and Analytics, with a robust foundation in programming languages, database management, business intelligence tools, and project management. I am actively seeking opportunities to apply my skills to real-world projects and make meaningful contributions.

Feel free to connect with me via email at zuhal.amarkhil@gmail.com. You can also explore my writing on my Medium blog.

Popular repositories Loading

  1. ZuhalAmarkhil ZuhalAmarkhil Public

  2. Solving-Business-Problems-with-Excel Solving-Business-Problems-with-Excel Public

    Practical Excel templates for small businesses to handle cost management, budgeting, payroll, and forecasting. Easily customizable for day-to-day operations.

  3. ML-Predicting-Patients-Metastatic-Diagnosis-Period ML-Predicting-Patients-Metastatic-Diagnosis-Period Public

    Utilizing Python, this project analyzes real-world healthcare data, leveraging machine learning algorithms to predict patients' metastatic diagnosis periods.

    Jupyter Notebook

  4. WebScraper_ImagesAndTexts WebScraper_ImagesAndTexts Public

    Using Python, this project extracts images and textual data of Nobel Peace Prize nominees by scraping Wikipedia. It saves the images in a directory and the text in a CSV file for further analysis.

    Python

  5. Hotel-Booking-Cancellation-Analysis Hotel-Booking-Cancellation-Analysis Public

    Using R, this project analyzes real-life hotel stay data to explore factors influencing booking cancellations through data analysis and predictive modeling.

    R