I find the signal in 150K-row datasets and turn it into a decision — SQL, Python, and statistical rigor applied to real problems, not toy ones.
I'm Shubham, a final-year Mechanical Engineering student at Delhi Technological University who ended up spending most of his time in SQL, Python, and statistical models instead of CAD software — though the CAD stuck around too.
My work is grounded in statistical rigor: taking a raw, messy dataset and working it — through EDA, segmentation, and modeling — until it produces a number someone can actually act on.
Outside of casework: I was a Dell Aspire Scholar, held an NCC 'A' Certificate, and led my school house as Captain — a recurring theme of structured effort, under pressure, in front of people.
A roadmap of where the work happened, in order.
Three projects where analysis and modeling drove a real decision — open one for the full report.
I'm looking for data analyst roles and internships where ambiguity in the dataset is the job, not the obstacle.