Hania Sohail

Mathematics graduate with hands-on experience in data science, statistical modeling, and Python programming. Completed real-world projects in classification, regression analysis, and predictive modeling using supervised learning algorithms. Skilled in data analysis, data visualization, and reporting with strong analytical thinking and attention to detail. Eager to apply quantitative and technical skills to drive data-driven decision-making in a data analyst or data science role.

Data Science Intern - Code Alpha - Remote

(2026-05 - 2026-06)

• Developed classification models for Iris flower dataset using supervised learning algorithms
• Identified administrative rate trends in India before and after COVID-19, identifying key economic impacts through data visualization and statistical analysis
• Built sales prediction models using Python to forecast future sales trends based on historical data

Bachelor of Science (BS) - Mathematics - Mehran University of Engineering and Technology, Pakistan (2021 - 2025)