Turning Data into Smart, Scalable Solutions
Final-year B.Tech CS (AI & Data Science) student at LNCT Bhopal (2026), passionate about turning raw data into intelligent, real-world systems.
Skilled in Machine Learning, Deep Learning, and Data Analytics — from building predictive models to creating interactive Power BI dashboards and intelligent systems.
As an undergraduate, I've already built and deployed RAG-based Generative AI applications — a domain most engineers explore only post-graduation. With 14+ live deployed projects, I believe in one thing: build it, deploy it, prove it.
Languages
ML / DL Frameworks
Generative AI & NLP
Data & Analytics
Tools & Deployment
Agents & AI Tools
Designed an interactive Power BI dashboard with DAX measures to analyze sales performance, profits, and category trends across multiple product lines — enabling data-driven decisions for business stakeholders.
Demo (Video)Developed a global COVID-19 monitoring dashboard using Power BI with dynamic date-slicers, trend analysis, and automated visual insights — tracking cases across 150+ countries in real time.
Demo (Video)ML classification model recommending the optimal crop based on soil NPK levels, temperature, humidity, and rainfall. Deployed on Streamlit with real-time user input support.
Live AppContent-based recommendation system using TF-IDF vectorization and Cosine Similarity across 5,000+ movies to generate personalized suggestions. Deployed on Streamlit.
Live AppClassification model estimating loan default probability using customer financial history and demographics. Packaged into a clean Streamlit app for real-time risk assessment.
Live AppRegression model predicting ride fares using distance, time-of-day, weather conditions, and city zone features. Deployed on Streamlit with real-time fare estimates.
Live AppRegression model predicting medical insurance charges based on age, BMI, smoking status, and region. Integrated with a Streamlit dashboard for instant charge estimation.
Live AppRegression model estimating resale car prices using vehicle age, brand, fuel type, and mileage. Deployed via Streamlit for instant second-hand price valuation.
Live AppNLP-based emotion classifier using NLTK, TextBlob, and Scikit-Learn to detect emotions (joy, anger, sadness, fear) from user text input with strong classification performance.
Live AppNeural network model built with TensorFlow/Keras to predict customer churn using 10+ demographic and behavioral features. Deployed on Streamlit for real-time retention strategy support.
Live AppCNN built with TensorFlow/Keras to classify cat and dog images. Trained on 25,000+ images achieving high-accuracy binary classification. Source code available on GitHub.
GitHubLSTM model integrated with OpenWeather API to forecast weather conditions in real-time. Predictions visualized on a modern Streamlit dashboard with live data refresh.
Live AppRetrieval-Augmented Generation chatbot using LangChain, FAISS vector store, and OpenAI embeddings to answer context-aware questions from any uploaded PDF document. Deployed on Streamlit.
Live App🎓 LNCT Bhopal — RGPV University, Bhopal M.P.
Specializing in AI & Data Science with hands-on experience across Machine Learning, Deep Learning, NLP, Generative AI, and Business Intelligence. Built and deployed 14+ real-world projects throughout the degree — from Power BI dashboards to RAG-based LLM applications.
📚 Suryoday Global Academy, Harda (M.P.)
📚 Suryoday Global Academy, Harda (M.P.)