I transform raw data into meaningful insights through machine learning, statistical analysis, and data visualization.
At the intersection of code, statistics, and curiosity, I transform complex datasets into crystal-clear insights that spark innovation and impact.
My data science journey began in 11th standard, when my first encounter with Statistics revealed how numbers could move beyond classroom equations to become powerful tools for understanding the world.
What started as curiosity has now evolved into a mission—to let data speak, inspire, and guide smarter decisions.
Download Resume
An AI chatbot for Mangalore buses that retrieves real-time bus numbers and routes. It processes unstructured web data into embeddings stored in FAISS and uses RAG with Gemini LLM to generate natural language responses based on user queries.
An end-to-end deep learning pipeline built with LSTM networks to forecast the next day’s stock closing price for selected companies. The model integrates historical stock data with sentiment analysis of financial news, capturing market sentiment to improve predictive accuracy.
A comparative study of extractive and abstractive text summarization techniques. The project benchmarks traditional TF-IDF-based methods against transformer-based models (BERT and BART) to evaluate their ability to generate concise and context-aware summaries.
A deep learning approach to predict customer churn for a telecommunications company. The project covers the full data science workflow—from data preprocessing and feature handling to training a Multilayer Perceptron (MLP) model in TensorFlow/Keras. The model achieved 81% accuracy and was evaluated using precision, recall, and F1-score.
A machine learning pipeline for classifying tweets into multiple disaster categories (e.g., Earthquake, Flood, Wildfire) vs. non-disasters. Using TF-IDF with Multinomial Naive Bayes, the model achieved 81% accuracy and was deployed via a Streamlit app for real-time classification.
St.Aloysius (Deemed to be University) Mangalore.
Specializing in machine learning and data analytics. CGPA: 9.04/10
Shree Dharmasthala Manjunatheshwara College Ujire.
CGPA : 8.88/10