Alishan Rizvi

Contributed to small Python projects with an emphasis on backend logic and practical problem-solving. Performed
exploratory data analysis to uncover patterns and supported feature engineering using pandas and numpy, and
experimented with scikit-learn for quick model iterations. Wrote readable code, documented assumptions, and focused on
improving script reliability and execution speed.

Engineered Python applications with a focus on backend logic and technical problem-solving. Utilized data science libraries
to perform Exploratory Data Analysis (EDA) and refine software performance. Libraries used: pandas, numpy, scikit-learn,
matplotlib, seaborn, requests, SQLAlchemy.