AI and Data Science graduate with expertise in Python, SQL, data analysis, and machine learning. Passionate about solving real-world problems, learning new tech
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
End-to-End-Data-Analysis-of-Vendor-Performance
February 22, 2026 – Present
End-to-End-Data-Analysis-of-Vendor-Performance — GitHub repository
View ProjectDelivery-duration-prediction
October 15, 2025 – October 15, 2025
A Jupyter notebook that predicts delivery times using tabular data. The notebook performs data loading, cleaning, feature engineering, model training, evaluation, and simple model export. It expects a CSV dataset (used variable name: historical_data).
View ProjectPDF-translator
July 25, 2025 – July 25, 2025
An offline PDF translator that extracts text and images, translates them using a local LLM via Ollama, and rebuilds a well-formatted PDF with MarkdownPDF — all while preserving layout and privacy.
View ProjectMath-agent
July 18, 2025 – July 18, 2025
Math Routing Agent is an Agentic-RAG system that acts as an AI-powered mathematics professor. It intelligently routes math queries between a local knowledge base and live web search, ensuring accurate and up-to-date answers. Equipped with AI guardrails, human-in-the-loop feedback, and structured context (MCP)
View ProjectPython-for-Data-Analysis-notes
July 3, 2025 – July 8, 2025
Python-for-Data-Analysis-notes — GitHub repository
View ProjectRAG-based-article-summariser-browser-extension
June 1, 2025 – June 9, 2025
A Chrome Extension with a local FastAPI RAG server that provides real-time AI-powered summarization and chat for any web article using Google Gemini. It extracts readable content, generates summaries in multiple styles, and enables conversation with the article — all locally, with only the Gemini API as an external dependency.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and heavily focused on AI/LLM development and data analysis. While this shows strong technical interest, the lack of team projects or diverse domain experience makes it difficult to assess broader cultural fit. The projects indicate a self-starter mentality and a drive for technical exploration.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's projects demonstrate initiative and technical problem-solving, but there is no information on collaboration, communication, or work attitude.