Data Science & Machine Learning

Manikanta Korrapati  • Peerlist

I led the development of a Customer Service Dashboard using Excel's Data Visualization capabilities to enhance operational efficiency and elevate customer satisfaction. Through meticulous data analysis, I curated key performance indicators (KPIs) such as inquiry volumes, resolution times, and satisfaction ratings. Leveraging Excel's tools, I transformed raw data into visually compelling graphs and charts, providing stakeholders with intuitive insights to monitor real-time metrics and identify emerging trends.

This interactive dashboard serves as a centralized hub for teams to optimize resource allocation, refine service protocols, and proactively address customer needs. By combining technology with data-driven strategies, this project highlights my commitment to driving organizational excellence and fostering lasting customer relationships. Through continuous refinement, the Customer Service Dashboard remains instrumental in our pursuit of unparalleled customer satisfaction and operational efficiency.

Customer Service Dashboard

In this project, we will leverage advanced machine learning techniques to analyze comprehensive health data, including glucose levels, blood pressure, BMI, age, and other relevant factors. Through meticulous data preprocessing, feature engineering, and model optimization, we aim to build a robust logistic regression model capable of accurately predicting the likelihood of diabetes in individuals.

By collaborating with healthcare professionals and domain experts, we will ensure the model's clinical relevance and applicability in real-world scenarios. The ultimate goal is to empower healthcare providers with a powerful tool for early identification of individuals at risk of diabetes, enabling timely interventions and personalized care plans.