Intelligent AI solutions and scalable data pipelines, built for the innovators of tomorrow.
I am an analytical and results-driven Data Science and AI/ML undergraduate based in Haldwani, currently studying at Amrapali University (Expected 2028).
My passion lies in building scalable data pipelines, predictive models, and robust intelligent systems. With hands-on experience in Python, SQL, BigQuery, and modern machine learning frameworks, I aim to transform complex datasets into actionable, real-world business insights.
Specializing in Artificial Intelligence and Machine Learning. Building expertise in data science, deep learning, and intelligent systems engineering alongside practical industry internships.
Developing an AWS-based hosting and deployment platform for the Buimb Digital website, supporting web, application, VPS and cloud hosting. Contributing to cloud architecture, AWS configuration, deployment workflows, security, testing, troubleshooting and technical documentation.
Built Climate Scope — automated ETL pipeline (Python/Pandas) ingesting 132K+ weather records; interactive Streamlit/Plotly dashboard with choropleth maps across 3,000+ locations. Conducted rigorous statistical analysis identifying 99th-percentile extreme weather anomalies, seasonal trends, and variable correlations across large-scale global datasets.
Built Weather Prediction Model — regression-based ML model achieving 92% R² accuracy on 10,000+ historical records; optimized preprocessing pipelines cutting training time by 20%.
Spearheaded AI awareness campaigns focusing on Gemini and Large Language Models. Organized workshops on Generative AI systems for student communities.
Stay ahead with accurate, real-time performance tracking and actionable business insights from complex datasets.
Make smarter moves with accurate, predictive models built for automation and data-driven growth.
Connect with state-of-the-art LLMs instantly to track progress, generate content, and accelerate innovation.
Ideal for real-time visualization of global weather anomalies across 3,000+ locations.
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Full-stack, multimodal AI web app for indigenous food heritage preservation using Google Gemini 2.0 Flash. Delivers nutritional analysis, recipe generation, Ayurvedic health chatbot, and local produce discovery.
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For full-stack inventory management with strict authentication and seamless UX.
View ProjectJarvis voice assistant using Gemini API for tasks like web search, weather, and AI chatting.
View ProjectSmart volunteer allocation system for local communities built for Solution Challenge 2026.
View ProjectInteractive Anime & Movie recommendation engines utilizing collaborative filtering.
View ProjectMachine learning project predicting temperature, humidity, and wind speed using historical meteorological datasets.
View ProjectA robust, full-stack To-Do List application built with Flask and SQLite. Features secure user authentication.
View ProjectFully responsive personal portfolio website featuring modern aesthetics, CSS animations, and tabbed logic processing.
View ProjectServerless pipeline extracting text from PDFs via Amazon Textract OCR; Amazon Bedrock LLM auto-generates standardized filenames. Results delivered as downloadable ZIP via presigned S3 URL through API Gateway.
View on GitHubAutomated data pipeline processing 443K+ records using bronze/silver/gold architecture, orchestrated via GitHub Actions CI/CD. Cut processing time from 6+ hours to under 2 minutes via batch inserts.
View on GitHubContributed 2 successfully merged pull requests to pgmpy, a prominent open-source Python library for Bayesian Networks and probabilistic graphical models.