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Pink Sugar

Projects

My Projects

Customer Complaint Dashboard

Designed and developed an interactive Customer Complaint Dashboard using Tableau to track, categorize, and visualize customer feedback in real time. The dashboard consolidated data from support tickets and surveys to reveal trends in issue types, response times, and resolution rates. Implemented dynamic filters and drill‑down capabilities for stakeholders to explore complaints by product line, region, and time period. Collaborated with the customer support and quality‑assurance teams to define key metrics and ensure the dashboard delivered actionable insights for improving customer satisfaction.

Evaluating Machine Learning Models for Predictive Analytics

Implemented and compared multiple machine learning models to evaluate their predictive accuracy on real-world datasets. Performed comprehensive data preprocessing, including handling missing values and applying feature scaling techniques to improve model performance. Assessed and interpreted results using key evaluation metrics such as accuracy, precision-recall, and R-squared, enabling data-driven selection of the most effective model for predictive analytics tasks.

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Construction Website

Developed a responsive and user-friendly construction company website using HTML, CSS, and JavaScript. The site included key sections like home, services, projects, contact form, and client testimonials. Focused on clean UI design, smooth navigation, and cross-device compatibility. Integrated interactive features such as image sliders and dynamic content loading to enhance user experience.

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