Hi, I'm Sandhya Krishnan

Senior Python Developer | Data Engineering | ML | Author

Building scalable data pipelines, advanced analytics systems, and high-fidelity machine learning models.

Sandhya Krishnan

About Me

I have over 14+ years of experience in software engineering, with the last 4+ years specializing entirely in building scalable Python data pipelines, distributed systems, and advanced analytics architectures.

I'm also the author of "Python Coding for Kids (Ages 8-10)", combining my technical expertise with a passion for teaching and communication.

Tech Stack

Python SQL Pandas & Polars Machine Learning Time Series FastAPI Distributed Systems

Featured Projects

AI Engineering

Ari (AI Agent Dashboard)

An AI-powered agent dashboard designed as a unified command center to manage workflows, automate repetitive tasks, and reduce context switching across tools. Integrates LLMs (Ollama) and WhatsApp (Twilio).

PythonOllamaTwilio
Data Visualization

Tableau Public Portfolio

A collection of high-fidelity, interactive dashboards including the viral "AI Evolution" visualization. Features advanced calculated fields, complex statistical modeling, and premium aesthetic design.

TableauPython Data PrepData Storytelling
Data Engineering

Python Excel Automation Engine

Enterprise-grade, professional automation framework for multi-sheet Excel ingestion, Pydantic-based data validation, and high-fidelity scientific visualizations using Seaborn and Matplotlib.

PythonPydanticSeaborn
Machine Learning

Time Series Forecasting System

Robust forecasting models for temporal data leveraging both classical statistical and modern Machine Learning approaches.

PythonMLStats

Publications & Writing

Python Coding for Kids

Ages 8-10 | A Visual Step-by-Step Guide

I wrote this book to make programming accessible and visual for younger audiences, teaching foundational concepts in a fun, engaging way.

View on Amazon Watch Animation

Medium Articles

I frequently write about Python engineering, Data pipelines, Data quality systems, and Practical Machine Learning concepts.

Read My Articles

Let's Connect

I'm always open to discussing data engineering, machine learning, or potential collaborations.