I am a final-year Computer Science student at RVR & JC College of Engineering, Guntur (Graduating 2026) with a strong interest in Machine Learning, Data Science, Explainable AI, and Full Stack Development. I have hands-on experience in building and interpreting ML models, highlighted by my project on Battery State of Health (SOH) prediction for Electric Vehicles using a CNN–LSTM architecture, with model interpretability achieved through SHAP and LIME.
I have worked on Power BI projects to design interactive dashboards and visualize complex datasets, enabling data-driven insights and decision-making. My technical skill set includes Python, SQL, DBMS, Machine Learning, and frontend technologies (HTML, CSS, JavaScript), and I am actively progressing toward full stack development.
Additionally, I have completed a Data Engineering Virtual Internship, gaining exposure to real-world data pipelines and database systems. I also have experience with distributed and NoSQL databases such as Cassandra, CouchDB, and Neo4j, and I enjoy applying my knowledge through projects, hackathons, and continuous learning.
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Explainable-AI-for-Battery-State-of-Health-Prediction-using-SHAP-and-LIME
Explainable-AI-for-Battery-State-of-Health-Prediction-using-SHAP-and-LIME PublicDesigned and implemented a deep learning-based SOH prediction system using a CNN-LSTM architecture. Applied SHAP and LIME to enhance model interpretability, enabling local explanations of feature i…
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Sales-Analysis-Reporting-Dashboard-for-Business-Decision-Making
Sales-Analysis-Reporting-Dashboard-for-Business-Decision-Making PublicThe Sales Analysis Dashboard is built using Power BI to visualize key metrics like sales, profit, and customer trends. It uses DAX for KPIs and Power Query for data shaping, enabling insights into …
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