About
Hi! I’m Sayan, a Data Scientist who has spent the last decade turning messy data into meaningful systems, scalable pipelines, and the occasional forecasting models that behave well.
I’ve built everything from supply impressions forcasting to keyword/audience recommendation engines to agentic AI tools, wrangled 10M-impression datasets, and even convinced Temporal Fusion Transformers to run nicely at production scale. Before all that, I played with geohashes, Spark clusters, and multilingual text models that insisted “Hinglish” isn’t a typo.
My journey’s taken me through Walmart, Sahaj, and Broadcom, with pit stops involving Kafka storms, PySpark jobs, and deep-dive knowledge sessions because I can’t resist explaining things I find cool.
I earned my Master’s degree at IISc Bangalore, diving deep into Bitcoin’s stability and anonymity. That’s far from ML, but a great reminder that exploring different domains often leads to unexpected passions.
This blog is my cozy corner on the internet where I break down ML/DL concepts with clarity, curiosity, and a little personality. Expect math, intuition, practical takeaways, and the occasional plot twist delivered by real-world data.
If that sounds like your kind of learning vibe - welcome aboard!