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Born in Al Ain, UAE, and brought up in Chhattisgarh, India, I've always been curious about the patterns hidden in the world around me—whether in numbers or in people.
My fascination with math and numbers led me toward Data Analytics, Data Science, and AI/ML, where I enjoy exploring data, building solutions, and solving problems that don't always have straightforward answers.
At the same time, I'm fascinated by human psychology: how people think, make decisions, and behave. Data reveals patterns in numbers; human psychology reveals patterns in the way we think and behave. I find both equally fascinating.
I enjoy learning by building, experimenting, and taking on challenges that push me to think differently. I'm constantly exploring new technologies and ideas, especially where data, AI, and human behaviour intersect.
Numbers fascinate me. People intrigue me. Problems challenge me. Learning keeps me going.
♡Curious about me? Explore my
dashboard — beyond the code.♡

Built a predictive inventory system for SAIL, training 50 material-specific Prophet models on 73K+ daily records to forecast demand, predict stockout risk, and generate lead-time-aware reorder recommendations.

An autonomous data intelligence platform that transforms raw datasets into actionable insights through AI-assisted analysis, forecasting, anomaly detection, root-cause diagnosis, and automated executive reporting.

Built a customer retention intelligence platform using XGBoost and SHAP to predict churn, explain account-level risk, segment customer behavior, and simulate pricing strategies for revenue impact.

♡ Google Beginner Data Analytics

♡ Google Advanced Data Analytics

♡ AI-ML Virtual Internship
Bhilai Steel Plant (SAIL)
IIIT Hyderabad (RLabs)
ACM Student Chapter