B.Tech Data Science student specializing in Natural Language Processing (NLP), predictive modeling, and operational time-series anomaly detection.
I build data-driven solutions rather than waiting for coursework. Currently pursuing a B.Tech in Data Science (CGPA: 8.29) at Amrita Sai Institute of Science & Technology, graduating in 2027.
My focus centers on fine-tuning Transformer architectures (NLP), time-series anomaly detection, and creating interactive visualization pipelines. Recently completed a Data Science Internship at Future Interns.
Engineered a time-series anomaly pipeline using dynamic rolling Z-scores and Isolation Forests on stream telemetry. Integrated SHAP explainability and interactive Plotly hydrographs.
View on GitHub ↗Fine-tuned the MuRIL NLP model to flag equity market misinformation across 47 NSE stocks. Proved real market impact using Granger Causality testing (p=0.004).
View on GitHub ↗Applied Linear Regression models on Kaggle datasets across 1,460 listings and 79 features. Conducted feature engineering, outlier handling, and cross-validation.
View on GitHub ↗Analyzed 200K+ rows of pandemic data across 200+ countries. Built interactive Tableau dashboards and Plotly charts mapping outbreak timelines.
View on GitHub ↗Processed complex datasets using Python (Pandas, NumPy) to extract actionable insights. Developed interactive data visualizations with Plotly, built automated data workflows, and earned an official Letter of Recommendation (LOR) for technical execution.
Actively seeking Data Science & ML internship opportunities in Hyderabad, Bangalore, and Vijayawada.