Data Science Chronicles by Rupesh

Hi there, I'm Rupesh đź‘‹

I stay curious & learn new things related to data science and machine learning. The transformative process of turning data into stories and unraveling the hidden patterns and insights that lies within it captivates me towards the infinite possibilies that data holds. Join me in this journey, and together, we'll unravel the tales hidden within the vast landscapes of data.

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Recent Projects
AI Research Assistant
AI Research Assistant
Next.js
LangChain
OpenAlex API
AI Agents

AI Research Agent: Query academic papers via OpenAlex, rank them based on criteria like recency, relevancy, or citation count, and use LangChain to summarize insights and analyze research gaps.

Project Web Design
Machine Learning Projects
Data Science
Machine Learning

Dive into the dynamic realm of machine learning through a curated collection of diverse projects. This exploration spans various algorithms, including Linear Regression, Naive Bayes, Support Vector Machines, Decision Trees, Random Forest, K-Means Clustering, Time Series Analysis, and more.

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From Attention to Latent Attention: Understanding One of the Key Innovations That Empowered DeepSeek

Nov 20, 2025
A clear walkthrough of attention, multi-head attention, and DeepSeek’s Multi-Head Latent Attention—showing how each idea solves real limitations and how DeepSeek achieves major efficiency gains.
Illustration of an AI chatbot in a terminal with memory recall features

Building an AI Agent with Long-Term Memory Using Vector Database

Jul 23, 2025
Learn how to build a command-line AI assistant that remembers user input across sessions by integrating LangGraph, LangChain, and FAISS vector database for persistent memory and improved context.
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Unveiling Stock Market Patterns with Eigenvectors and Covariance Analysis

May 28, 2025
Discover how linear algebra concepts like eigenvectors, eigenvalues, and covariance matrices reveal hidden patterns in stock returns. Learn with Python code how to extract dominant trends from multiple stocks using real mathematical tools.

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