Before you build a model, write a report, or draw any conclusions from data, you need to actually look at it. This is exactly what EDA is for. In this blog, I will walk through EDA from first principles: what it is, why each technique exists, and the statistical reasoning behind it. 
 
 Note: Most examples in the blog will use the Ames Housing dataset, which is a dataset containing real…
The FIFA World Cup is right around the corner. Hosted jointly by the United States, Canada and Mexico, this is the most structurally different tournament in a generation.
The competition has expanded to 48 teams divided into 12 groups of four, introducing a completely new dynamic to qualification, squad rotation, and knockout progression.
 
In this blog, I will attempt to analyze the…
Test Automation for Low-Code ETL Workflows 
 
 Speaker: Meenakshi D'Souza (IIT Madras) 
 
 Introduction 
 ETL is a data integration process that combines data from various sources according to the desired requirements, and then loads it into a target (typically a data warehouse).
No-code/low-code ETL platforms provide features for business users to develop ETL pipelines…
Introduction 
 LightGBM is a FOSS gradient boosting framework for ML developed by Microsoft. It uses the Gradient-Based One-Side Sampling (GOSS) mechanism. 
 GOSS 
 GOSS is an sampling method that first, sorts the training data by the gradients of the loss function with respect to the current model, and then selects a subset of the data based on the magnitude of these gradients.
In…
Introduction 
 
 Can current systems survive the shift to agents? 
 Agents become the interface (instead of record systems such as Salesforce, Workday, etc.) 
 Decision Traces: Missing layer that actually runs enterprises. They capture what happens in specific cases. 
 Rules: Tell an agent what should happen in general. 
 Agents do not just need rules. They need access to…
Summary 
 
 MedGraphRAG is an innovative framework designed to improve the accuracy and safety of LLMs in the medical field. 
 Uses a 3-tier hierarchical graph that links private user data to established medical textbooks and foundation dictionaries. 
 
 
 Key Points 
 
 The 3-tier layer is as follows:
 
 Top level (User-Provided) 
 Medium level (Medical…
I am actively looking for internship opportunities in Bengaluru (or remote), primarily in Data Analytics, MLOps and AI Infrastructure during Fall 2026. If something sounds relevant, please reach out to me via email ( anshulparuchuri@gmail.com ). 
 download resume (pdf) 
 
 


 
 bengaluru evenings 
 
 hi, i'm anshul. fourth-year cse student at pes university, bengaluru. interested in ai and data. other than that, i like football and photography. 
currently a teaching assistant for data analytics @ pesu. 
previous sde intern @ karplexus ; ex-core @ hsp (foss club) 
 
 links: github · mail · photography 
 
 this site is inspired…