A thought-provoking article exploring how to think like a data scientist, without writing a single line of code. Covers the mental framework behind curiosity, structured reasoning, hypothesis testing, and data-driven storytelling, helping readers build analytical intuition beyond tools or syntax.

Branch-Thinking MCP Tool A TypeScript-powered MCP server for managing parallel branches of thought, semantic cross-references, and persistent tasks. Features dynamic scoring, AI-generated insights, batch operations, and visual graph navigation for advanced agentic workflows.

This project uncovers audience behavior patterns by analyzing YouTube video engagement metrics using Python. From 360° EDA to interactive dashboards, it breaks down how views, likes, dislikes, and comments reveal user sentiment and content performance, built with NumPy, Pandas, Seaborn, Dash, and hypothesis testing to produce real time analytics.

A new package designed to facilitate structured and reliable interactions with language models for analyzing and summarizing technical discussions. Given a detailed description or excerpt of a technic

A new package designed to process user-inputted text statements or stories and extract structured summaries or insights using a reliable language model with pattern matching and retries. It simplifies

A new package facilitates extracting a concise, structured summary from user-provided news headlines or brief texts by utilizing pattern matching and LLM interactions. This tool aims to help researche

A new package designed to analyze and summarize video content by processing pre-extracted textual information such as transcripts, subtitles, and descriptions. It leverages structured pattern matching

InsightScope is a web app that allows users to upload CSV files, preprocess the data, and visualize trends through interactive charts. It generates insights from the dataset, making data analysis accessible and insightful.

🔍 Develop a data scientist's mindset by mastering analytical thinking without coding, turning confusion into insights through clear, structured methods.

♦️ Walmart Sales Analysis ♦️ Walmart Sales Analysis is a data-driven project analyzing Walmart’s weekly sales dataset. It covers data cleaning, preprocessing, and exploratory data analysis (EDA). Various visualizations highlight sales trends, store performance, and holiday impacts. Insights include top-performing stores and seasonal effects

🌟 Internship Program Analysis 🌟 This project explores key trends in internship opportunities across various companies and roles. Using Python (Pandas, Matplotlib, Seaborn), the dataset was cleaned, analyzed, and visualized for insights. It highlights top internship titles, locations, durations, and stipend patterns.

🎨 Transform language, voice, and images into structured AI concepts, visualized through generative art and reimagined as poetic expressions.

A webiste that can automate classic ML tasks, and provides a basic understanding of your dataset.

Enter details of your soil and weather, and find best suitable crop for farming. With our advanced AI system, you can make informed decisions and optimize your agricultural practices.

RSVP Movies is an Indian film production company which has produced many super-hit movies. They have usually released movies for the Indian audience but for their next project, they are planning to release a movie for the global audience in 2023.

Enter details of your soil and weather, and find best suitable crop for farming. With our advanced AI system, you can make informed decisions and optimize your agricultural practices.

This project performs exploratory data analysis (EDA) on a superstore sales dataset using Python. It includes data loading, cleaning, visualization, and insights generation.

Small VLMs for insight generation

📊 Analyze internship listings to reveal trends, skills in demand, and opportunities, transforming raw data into actionable insights for students and organizations.

An automated GTM intelligence platform for aggregating, categorizing, and generating insights from Revolut-related signals (news, funding, partnerships, etc.). The platform scrapes data from Google News, classifies it into GTM themes, and delivers concise summaries and actionable recommendations.