Kumkum Sharma

I’m an aspiring Data Scientist focused on turning real-world data into accurate, decision-ready insights. I’m currently pursuing a B.Tech in Computer Science with specialization in Data Science, with a strong foundation in statistics, DBMS, and Data Structures.

I work end-to-end across data preprocessing, exploratory data analysis, and predictive modeling. I enjoy feature engineering, model evaluation, and building solutions that are practical—especially when they can be deployed or translated into clear reporting.

In my Diabetes Prediction System project, I developed machine learning models using healthcare datasets. I performed data cleaning, preprocessing, and feature engineering with Pandas and NumPy, trained models like Logistic Regression, Decision Tree, Random Forest, and SVM, and evaluated them using Accuracy, Precision, Recall, and F1-Score.

I also build analytics products: my Bank Loan Analysis Dashboard uses SQL and Power BI with DAX measures, dynamic visualizations, and interactive slicers and filters. In addition, my WhatsApp Chat Analyzer is a Python-based tool for text preprocessing, date-time parsing, emoji extraction, and engagement trend analysis using Pandas, Matplotlib, and Seaborn.