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DTU (delhi technological university)
Data Scientist
June 19, 2026 – Present
stock-market-AI-hack
February 18, 2026 – Present
QuantPulse India is a full-stack web application for analyzing Indian NSE stocks using market data, technical indicators, and news sentiment. This repository contains both the frontend and backend required to run the project locally or deploy it.
View ProjectDSA-ALGORITHMS
November 18, 2025 – Present
This repository serves as a centralized archive for Data Structures and Algorithms implemented purely in C++. It documents a systematic approach to understanding computational logic, memory management, and algorithmic efficiency.
View ProjectSIH--COAST-GUARD-AI
September 12, 2025 – September 12, 2025
This project is designed to help analyze and verify hazard-related reports (like floods, storm surges, or oil spills) from multimedia sources. It combines AI-based verification, hazard classification, and geospatial hotspot detection into one streamlined pipeline.(this model is the solution of the problem statement SIH25039)
View ProjectScene-Localization-in-Dense-Images-via-Natural-Language-Queries
August 15, 2025 – August 31, 2025
This project aims to build a system that can identify and localize specific sub-scenes within a single dense image based on a natural language query describing one of the events occurring in the scene.
View Projectstock-price-predection
July 4, 2025 – July 4, 2025
stock proce predection using knn algorithm
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal learning and exploration in data science and related fields. The diversity of projects, from image processing to financial analysis, indicates a broad interest. However, the lack of team-based or collaborative projects in the provided data makes it difficult to fully assess cultural fit in a professional team environment. The single listed 'experience' as a Data Scientist at DTU with a future start date (2026) and 'isCurrent: true' is contradictory and suggests this is either a future role or an academic affiliation, not current professional experience. This limits the assessment of real-world collaboration and professional work ethic.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.