Sweatha Poovendra kumar

Data Analyst

India 0+ yrs exp 81 · Excellent

About

Data Analyst with a banking background and an engineering mindset, combining SQL and Python analysis with practical reporting to turn raw business data into clear answers. Experienced in transaction-level analysis, BI dashboards, data validation, and investigating performance patterns, with a focus on understanding not just what changed, but what the data suggests should be explored next.

Skills & Expertise (43)

Python Intermediate

5.1/10

0.5

Years Exp

Power BI Intermediate

5.1/10

0.5

Years Exp

Statistical Analysis Intermediate

5.1/10

0.5

Years Exp

Tableau Intermediate

5.1/10

0.5

Years Exp

Exploratory data analysis Intermediate

5.1/10

0.5

Years Exp

Data Cleaning Intermediate

5.1/10

0.5

Years Exp

Data Validation Intermediate

5.1/10

0.5

Years Exp

SQL Intermediate

5.1/10

0.5

Years Exp

Data Automation Intermediate

5.1/10

0.5

Years Exp

Advanced Excel Intermediate

5.1/10

0.5

Years Exp

INDEX Dashboarding Cohort Analysis Trend Analysis conditional logic MATCH KPI Dashboards Customer Segmentation Retention Analysis Churn Analysis Root-cause analysis KPI Analysis Performance Analysis Data Reconciliation Reporting stakeholder communication Matplotlib Joins CTEs Subqueries Aggregations Window Functions Data Extraction Pandas NumPy XLOOKUP Segmentation DAX Power Query Data Modeling drill-through analysis Interactive Reporting PivotTables

Work Experience

Data Analyst

The South Indian Bank

Sep 2024 - Feb 2025

Analyzed banking and transaction data using SQL and Python to identify trends, inconsistencies, and performance patterns across recurring reports and operational datasets. Built and maintained Power BI and Tableau dashboards to consolidate business and operational metrics, enabling stakeholders to monitor performance and investigate changes over time. Performed data cleaning, validation, reconciliation, and root-cause analysis to investigate inconsistencies across source data and improve analytical reliability. Worked with transaction-level data to examine customer activity and differences across business segments, supporting recurring analysis and management reporting. Automated repetitive data preparation and reporting tasks using Python and SQL, improving the consistency and efficiency of recurring analytical workflows. Worked with business stakeholders to clarify reporting requirements, metric definitions, validate analytical outputs, and communicate findings in a concise and understandable format.