Shahida Batool

I am a Data Analyst and Python Programmer with expertise in Pandas, NumPy, and Machine Learning, and a strong background in Bioinformatics. I am currently pursuing my Master’s in Data Science and specialize in transforming complex datasets into actionable insights through data cleaning, analysis, visualization, and predictive modeling.

I have worked on a variety of projects across multiple domains. These include developing a citizen preparedness mobile data application and applying a hybrid recommendation approach to analyze Amazon electronics and book review datasets, uncovering trends and meaningful tag relationships. I have also conducted research on Multiple Myeloma datasets, performing visualization and clustering to identify patterns and uncover generic reasoning behind disease occurrence in families. My bioinformatics expertise enables me to handle medical, genomic, and life sciences datasets with precision and extract valuable insights.

I am passionate about applying data science to solve real-world problems and enjoy working on projects involving large or complex datasets, building predictive models, and creating clear and insightful visualizations. I continuously expand my skills in Python, PySpark, and advanced analytics to deliver high-quality, reliable, and data-driven solutions. I am open to collaborating with clients on data analysis, machine learning, bioinformatics, and medical or research-related projects, helping them turn raw data into actionable knowledge.