Laxmi Kalyani

I built an AI-powered resume analysis app using Python and Streamlit, with PDF text extraction and preprocessing through PDFPlumber. I also added skill and keyword extraction for ATS-focused resume analysis.

For my E-Commerce Fraud Detection project, I analyzed transaction data with Python, Pandas, and NumPy. I performed data cleaning, exploratory data analysis, feature engineering, and visualization, then built classification models using Scikit-learn.

In my Student Performance Segmentation project, I analyzed student data, carried out preprocessing and exploratory analysis, and applied clustering techniques to segment student performance.

During Data Analytics Training/Internship at QSpiders, Rajajinagar, Bengaluru, I practiced SQL queries and worked on data cleaning, preprocessing, analysis, and visualization using Python, Pandas, and Excel. I’m a Data Science Engineering graduate seeking an entry-level Data Analyst, Business Analyst, or Junior Data Analyst role.