Bharti Kumari

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Data analyst focused on turning messy data into usable decisions. I work primarily with SQL and Python (Pandas, basic Spark), building clean transformation logic, validating assumptions, and structuring data so it can actually answer business questions. I’m comfortable moving between exploration and production—prototyping quickly, then rewriting clean, scalable queries when logic stabilizes.

My approach is diagnostic before decorative: check null patterns, duplicates, ranges, and data integrity before building dashboards or models. I prefer clarity over cleverness, reproducible logic over one-off hacks, and measurable impact over tool-stacking.

I don’t treat tools as identity. SQL for repeatable transformation, Python for exploration, Excel when communication demands it. The objective is always the same: reduce ambiguity, surface signal, and make decisions defensible.

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This is the second paragraph of your amazing article.

This is the third paragraph where the content continues.