Srushti khillare

I’m a B.Tech graduate in Information Technology with internship experience in data preprocessing, exploratory data analysis, reporting, and machine learning fundamentals. I enjoy turning messy data into clear visuals and trustworthy results that support real business decisions.

In my Data Science internship at AICW, I cleaned and transformed datasets using Python, Pandas, and NumPy, handling missing values and preparing data for analysis. I performed EDA and created visual insights with Matplotlib and Seaborn, then built supervised models (Linear Regression, Logistic Regression, Decision Tree, and Random Forest) and evaluated them with accuracy, precision, recall, F1-score, and confusion matrices.

I also used that momentum to deliver a capstone project, Voice to Calligraphy Translating System, combining speech-to-text conversion with text processing. My project work goes further into applied problem-solving, including a Fraud Detection System where I prepared transaction data, engineered features, and compared model performance using precision, recall, F1-score, accuracy, and confusion matrix.

Beyond analysis, I’ve built database-driven applications like FoodNet, a food donation platform using MySQL plus a React/Node.js/Express.js stack—designing a MySQL schema and using SQL queries to manage donation workflows across dashboards. I’m an “learn-fast and ship” person, and I’m ready to bring that same rigor, clarity, and curiosity to a Data Analyst role.