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.
Orchestrated an automated ETL pipeline processing 132k+ records for real-time anomaly detection. Developed the Climate Scope dashboard visualizing global weather patterns across 3,000+ locations using Python and Streamlit.
Constructed a predictive model using advanced regression algorithms achieving 92% R2 accuracy. Handled massive meteorological datasets via Pandas.
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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Built for hyper-localized agricultural guidance using conversational Generative AI.
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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 ProjectContributed 2 successfully merged pull requests to pgmpy, a prominent open-source Python library for Bayesian Networks and probabilistic graphical models.