
Data-focused developer working on data analysis, machine learning, and data-driven applications using Python.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI-Data-Analyst
May 15, 2026 – Present
AI-powered automated data analysis platform that generates intelligent visualizations, dashboards, and business insights from datasets using Groq LLMs, Gemini Vision, Plotly, and Streamlit.
View ProjectMeeting-Intelligence-AI
May 13, 2026 – Present
AI-powered meeting assistant that transcribes audio/video, generates summaries, extracts action items & decisions, and enables RAG-based chat with meetings using LangChain, Whisper, Mistral AI, and Streamlit.
View ProjectExam-Score-Predictor-FastAPI
May 7, 2026 – Present
Exam-Score-Predictor-FastAPI — GitHub repository
View Projectdeep-research-agent
April 29, 2026 – Present
A multi-agent AI research system that searches the web, scrapes sources, writes structured reports, and critiques them — built with LangChain, Groq, and Streamlit.
View ProjectCoding-ChatBot
April 10, 2026 – Present
A Streamlit-based chatbot leveraging Google Gemini (gemini-2.5-flash) for coding assistance with contextual conversation support.
View ProjectEmail-Spam-Detector-Using-GRU
April 3, 2026 – Present
A Deep learning project to detect spam emails using GRU with a simple Streamlit web interface.
View ProjectEmotion-Image-Classifier
March 30, 2026 – Present
Deep Learning-based Emotion Image Classifier built with MobileNetV2 and Streamlit. Supports real-time image prediction with confidence scores. (~50% accuracy, continuously improving)
View ProjectDL-Masterpiece
March 29, 2026 – Present
A professional Streamlit portfolio that brings together multiple deployed Deep Learning models with live demos in one unified dashboard.
View ProjectFruit-Freshness-Classifier
March 28, 2026 – Present
CNN-based Fruit Freshness Classifier that detects whether a fruit is fresh or rotten using TensorFlow and a Streamlit web app.
View ProjectML-Masterpiece
March 2, 2026 – Present
A professional Streamlit portfolio that brings together multiple deployed Machine Learning and NLP models with live demos in one unified dashboard.
View ProjectCultural Fit Analysis
The candidate's portfolio consists entirely of personal projects, demonstrating strong self-motivation and initiative in learning and applying advanced AI/ML concepts. The diversity of projects (NLP, computer vision, data analysis, multi-agent systems) indicates a broad interest in the AI domain. However, the lack of team-based or professional experience makes it difficult to assess collaboration and cultural fit within a corporate environment. The focus on cutting-edge LLM and multi-modal AI projects aligns well with innovative and research-oriented cultures.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a strong focus on practical application and deployment, which suggests a results-oriented approach.