Data Analyst who turns messy datasets into decisions. Built end-to-end analysis pipelines — from raw data cleaning to interactive Power BI dashboards — during a hands-on internship analyzing large-scale datasets for tren…
Data Analyst who turns messy datasets into decisions. Built end-to-end analysis pipelines — from raw data cleaning to interactive Power BI dashboards — during a hands-on internship analyzing large-scale datasets for trend and pattern insights. Fluent in Excel, Power BI, Python, and SQL, with a Bachelor of Computer Applications (82%). Looking to bring that same rigor to a Data Analyst role built around reporting, dashboards, and data-driven decisions.
<p>Collected, cleaned, and analyzed a large operational dataset to identify trends and patterns across categorical, temporal, and demographic variables, delivering insights and recommendations to support informed decision-making.<br>
Turned a raw, error-prone dataset into an analysis-ready one by identifying and removing missing values and duplicate records — the foundation every downstream insight depended on<br>
Surfaced recurring trend patterns across five key variables (location, category, time, demographics, status), using EDA in Python to move from raw numbers to a clear narrative<br>
Built interactive Power BI dashboards that let stakeholders monitor findings in real time, rather than waiting on static reports<br>
Validated results using Excel and Python (Pandas, NumPy) to catch inconsistencies before they reached final reporting — accuracy checked at every stage, not just at the end<br>
Presented findings and recommendations in structured summary reports, translating technical analysis into decisions non-technical stakeholders could act on<br>
Documented the entire workflow end-to-end, so the analysis process itself was as reviewable and reproducible as the results</p>
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