SANJNA KARERA

Strong foundation in mathematics and computer science, with a passion for applying analytical and programming skills (Python, SQL) in data-driven environments. Proficient in statistical analysis and eager to contribute to data science projects. Combines technical expertise with a quick learning ability to solve real-world problems.

• Rector’s List | FAST NUCES | 8th Semester, 2025
• Dean’s List | FAST NUCES | 7th Semester, 2024

• Gene Prioritization for Type 2 Diabetes: Built a framework using Weighted PageRank to identify diabetes-related genes via multilayer biological networks. (Python, NetworkX, Numpy, Pandas, Scikit-learn, CytoEscape, Excel)
• Mobile Prediction Classification: Developed a classifier using Logistic Regression and Random Forest to predict mobile price ranges. (Scikit-learn, Python, Matplotlib, Seaborn)
• Medical Insurance Cost Prediction: Implemented a regression model using RandomForestRegressor to estimate insurance charges. (Scikit-learn, Numpy, Pandas, Matplotlib)
• Loan Approval Prediction System: Predicted loan approvals using Logistic Regression with data preprocessing and evaluation. (Scikit-learn, Pandas, Numpy)
• Restaurant Management System: Created a C++ OOP-based system demonstrating inheritance, encapsulation, and polymorphism. (C++)