Sree Nihitha Chennupati

Dynamic intern with hands-on experience at LV Prasad Eye Institute, enhancing user interfaces and developing real-time assessment tools. Proficient in Python and data visualization, I excel in team collaboration and analytical problem-solving, driving impactful improvements in patient care and educational applications. Adaptable and results-oriented, I thrive in fast-paced environments.

• The Complete Java course by Udemy
• The Data Analyst Course: Complete Data Analyst Bootcamp by Udemy

A study on fake news detection using ML, 08/01/23, 12/01/23

 introduces a hybrid machine learning model combining recurrent neural networks (RNNs), support vector machines (SVMs), and random forests, leveraging natural language processing (NLP) and feature engineering to effectively detect counterfeit news. Achieving high precision, recall, and F1 scores, the model demonstrates strong generalizability across diverse topics and sources, highlighting its practical applicability in real-world scenarios 

Empirical Software Engineering, 08/01/23, 12/01/23

Empirical analysis using NASA public datasets reveals logistic regression as the most effective model for defect prediction, achieving accuracies of 0.85 (KC1), 0.74 (KC2), and 0.92 (PC1) The study highlights a data-driven approach to improving software quality and reliability through the application of high-performing machine learning algorithms

What does explainable AI really mean? A New Conceptualization of Perspectives, 01/01/23, 04/01/23. 

This study examines explainable AI (XAI) strategies, including white box models, feature-based methods, and visualization techniques, to improve transparency, fairness, accountability, and collaboration in human-machine teams, while assessing current practices, explanation quality, and future research directions

Automated Sales Performance Dashboard for Retail Chain Tools: Power BI, Alteryx, Excel (VBA, Power Query), SQL, SharePoint

Developed an interactive dashboard in Power BI to track sales KPIs (revenue, profit, and YoY growth) across 100+ retail locations. Automated data ingestion and transformation using Alteryx workflows and Power Query, eliminating manual effort and reducing reporting time by 70%; integrated Excel-based tools with VBA scripts to streamline ad-hoc reporting and data cleansing tasks; conducted User Acceptance Testing (UAT) with stakeholders to validate data accuracy and ensure business alignment; deployed the dashboard on SharePoint with scheduled data refresh and access controls, enabling self-service insights for non-technical users

Department of publicity and public relations, NSS, Cricket, Books