Vasumathy Appar Sundar

Dedicated and results-oriented professional with a solid background in IBM BPM/BAW development and recently acquired skills in Applied Data Science. Seeking a challenging role as a Data Analyst where I can leverage my technical expertise, analytical skills, and passion for data-driven decision-making to contribute to the success of an organization.

• OYO Rooms Price Prediction

Scrapped data from the OYO website using the Beautiful Soup package in Python to collect information on hotel rooms. Conducted data preprocessing, exploratory data analysis, and feature engineering to prepare the dataset for modeling. Implemented machine learning algorithms, including linear regression, decision tree, random forest, and XGBoost, to predict discounted prices for OYO hotel rooms. Achieved an R-squared value of 0.86 with linear regression, indicating strong predictive performance. Presented insights and recommendations based on the analysis to optimize OYO's pricing strategy and enhance customer experience.

• Loan Approval Prediction with Machine Learning

Developed machine learning models to predict loan approval status based on customer data. Achieved a model accuracy of 72.61% and an F1-score of 81.00% using logistic regression. Improved performance to a mean accuracy of 74.67% and a mean F1-score of 82.81% with stratified k-fold cross-validation. Provided actionable insights for banks and customers, enhancing decision-making in the financial domain.