CO2 Emissions Analysis by Vehicles

Project Overview: Analyzed the impact of various vehicles on CO2 emissions, utilizing statistical tools to identify key contributors to environmental pricing strategies. Outcome: Provided actionable insights into the correlation between fuel consumption and emissions, usef

Customer Segmentation Analysis for Financial Services

Objective: Segmented 8,950 credit card customers into 4 distinct groups using K-Means clustering to identify key customer behaviors. Results: Identified high-value customers with a 15% higher average balance and 20% higher credit limit, and recommended targeted marketing strategies.

Loan Default Prediction Model

Developed a machine learning model to predict loan defaults, achieving a cross-validation accuracy of 82.28% and validation accuracy of 76.76%. Improved recall for loan approvals to 94%, ensuring high effectiveness in identifying loans that should be approved.

Fine grained Image classification

Implemented deep learning models (VGG16, Bi-linear CNN, EfficientNet) for fine-grained classification of bird species, resulting in an average accuracy improvement of 12% Streamlined data preprocessing, augmentation, and normalization techniques, leading to a 20% reduction in model training time

Sales Data Analysis and Customer Segmentation

Analyzed sales data to identify trends, top products, and customer segments using K-Means clustering. This project demonstrates my ability to derive actionable insights and visualize key business metrics.

HR Analytics Dashboard

Developed an interactive dashboard in Tableau to visualize key HR metrics, including employee turnover, satisfaction, and demographic insights. The dashboard enhanced decision-making efficiency by 30%, enabling HR teams to make data-driven decisions with real-time insights.

Loan-approval-prediction

Developed a machine learning model to predict loan approvals using various classification algorithms, achieving an accuracy of 83.74% with the Naive Bayes classifier. The project involved data preprocessing, feature engineering, and model evaluation using Python and scikit-learn.

HR PRESENCE INSIGHTS