Open to opportunities

HONEY J

@honeyj

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Entry-level data scientist and full-stack developer building AI-driven analytics and intelligent web applications.

India

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What I'm looking for

I’m looking for an entry-level role where I can build AI/ML and data-driven products, ship full-stack features, and contribute to scalable, secure systems with real-world impact.

I’m a motivated MCA graduate skilled in data science, machine learning, and full-stack development, focused on turning complex data into usable, real-time intelligence. I enjoy building AI-driven systems with scalable architectures and modern tools.

Through projects like TEAMHIVE, I developed a scalable multi-tenant team platform with secure backend features (session-based authentication, RBAC) and RESTful APIs. I also built interactive, responsive UI with ReactJS, TailwindCSS, and React Query for efficient state management.

In RESOSPINE, I created an AI-powered medical imaging workflow that detects cervical and lumbar abnormalities from MRI scans. I integrated Explainable AI using Grad-CAM to produce heatmaps for clinical transparency, and delivered voice-assisted Doctor and Patient modes powered by LLMs.

In FINFUSE, I built an LLM-based financial intelligence system using RAG to reduce hallucinations and ground responses in real-time data. I paired summarization and sentiment analysis with Streamlit dashboards and Plotly visualizations for practical decision support.

Experience

Work history, roles, and key accomplishments

FinFuse LLM Financial Intelligence

FinFuse

Created an LLM-based financial news and stock intelligence system using live market data and news sources. Implemented BART summarization with financial sentiment analysis, built a RAG pipeline to reduce hallucinations, and delivered an interactive Streamlit dashboard with technical indicators and alerts.

Python Streamlit Plotly SpaCy BART Summarization RAG FinBERT Yahoo Finance Finnhub API NewsAPI GNews

TeamHive Multi-Tenant Platform

TeamHive

Developed a scalable multi-tenant project management platform enabling multi-workspace collaboration, real-time project tracking, and hierarchical task management. Implemented a secure Node.js/Express backend with session-based authentication, RBAC, and REST APIs, plus a React frontend with efficient state management and analytics dashboards.

MongoDB ReactJS TailwindCSS React Query Docker REST APIs RBAC

ResoSpine MRI Abnormality Detection

ResoSpine

Built an AI-powered medical imaging system to detect cervical and lumbar spine abnormalities from MRI scans. Integrated ResNet-18 classification with Grad-CAM explainability and delivered a Flask/React web platform with LLM-powered doctor and patient voice modes.