Tannu Antil

I turn messy data into decisions people can actually be used in the real world. While most analysts wait for clean datasets, I build them from scratch—because real problems don’t come structured. I focus on understanding patterns, extracting insights, and making data useful for decision making.
I built Signify after identifying a clear gap—there was no practical real time Indian Sign Language translation system. So I created one independently: curated 260,000+ images, trained a gesture recognition model, integrated voice output, and deployed a working web solution. No shortcuts, just execution.
My work spans analyzing loan defaults, predicting high performing movies, and uncovering engagement trends across large datasets. I combine machine learning with user focused thinking—because models only matter when people can use them.
Skilled in Python, SQL, Excel, and Power BI, I specialize in EDA, predictive modeling, dashboards, and business insights—helping organizations turn data into cle