Mathematics graduate with a passion for data — I transform complex datasets into clear,
actionable insights through Python, SQL, Tableau, and storytelling.
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An end-to-end sales analysis of 4 years of global retail data (2011–2014).
Identified top revenue segments, regional trends, and shipping patterns
using Python, MySQL, and Tableau.
Analyzed customer churn patterns for a bank using Python EDA and a 3-page Tableau dashboard. Identified key churn drivers including age group, credit score, and account balance.
Explored loan default risk across borrower profiles using Python and Tableau. Uncovered critical patterns in loan grade, interest rates, and home ownership status affecting default rates.
Investigated employee attrition drivers using SQL, Python, and a 4-page Tableau dashboard on IBM's HR dataset of 1,470 employees. Key factors: overtime, job role, and salary level.
Full sales analysis of a pizza restaurant's 2015 data using Excel, Python, and a dark-themed 3-page Tableau dashboard. Revealed peak hours, best-selling categories, and revenue trends.
Analyzed global tech layoff trends from 2020 to 2023 using Python and Tableau. Explored industry-wise, country-wise, and time-based patterns across thousands of layoff events worldwide.