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india-crops-data-pipeline
April 21, 2026 – Present
end-to-end data pipeline processing large-scale mandi price data (Agmarknet) to identify commodity price volatility and shock events.
View Projectindia-crop-price-pipeline
April 20, 2026 – Present
Production-style end-to-end data pipeline processing large-scale mandi price data (Agmarknet) to identify commodity price volatility and shock events. Implements batch ingestion, distributed processing (Spark), warehouse optimization (BigQuery partitioning & clustering), and analytics-ready transformations (dbt).
View ProjectRehabilitation-Posture-AI
August 10, 2025 – Present
RehabAI is a smart rehab monitoring system for trauma recovery, using MediaPipe Pose for real-time pose estimation, joint angle tracking, and exercise form evaluation. It offers instant posture correction and generates progress reports for doctors.
View ProjectInsurance-Advisor-Compliance-Agent
June 27, 2025 – July 1, 2025
An AI-powered Insurance Advisor and Compliance Agent helping users choose the right insurance, understand their existing policies, detect coverage gaps, and stay IRDAI compliant.
View ProjectRAG-with-VectorDatabase-Event
February 16, 2025 – March 19, 2025
A general-purpose Retrieval-Augmented Generation (RAG) framework combining the power of LangChain, Hugging Face, and FAISS. Designed for seamless integration with any LLM this solution excels in delivering accurate, context-aware responses for diverse use cases
View ProjectStyleSense
July 13, 2024 – January 13, 2025
StyleSense is a unique fashion inventory app which combines power of CNN and content-based filtering to help users to classify various clothing items as well as find similar type of products based on the user uploads, as well as curating a pre-defined styles section to help users to enhance their fashion taste.
View ProjectSE-TE-BE-Data_Science
March 1, 2024 – May 20, 2025
Every resources you need to prove you got all the necessary material. You are at the right spot! Exclusive Content? Well not exactly but the important things in hand for pacing up to get the exams right. Material too will be updated from time to time! So you dont need to rely on faculty for those 'notes'
View ProjectCultural Fit Analysis
The candidate has a diverse portfolio of personal projects, indicating self-motivation and a broad interest in applying data science and AI to various domains. The projects align well with a Data Scientist role, demonstrating initiative and a proactive approach to learning and application. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an interest in practical applications of AI/ML. However, without psychometric test results or interview data, it is not possible to assess soft skills, work attitude, stress handling, or team collaboration.