Abinaya K

Analyzed and processed data from 38,576 loan applications, enabling the development of a dynamic dashboard to track $435.8M in total funded loans and $473.1M in received payments.
Reduced manual reporting efforts by 30% through automation of data pipelines using optimized SQL queries.
Enhanced decision-making efficiency by 15%, providing actionable insights into loan statuses, repayment trends, and risk assessments.
Identified and monitored bad loans, amounting to $65.5M in funded amounts, improving risk evaluation and mitigation strategies.
Delivered insights on key metrics, including a 12% average interest rate and 13.3% average debt-to-income ratio, supporting financial strategy planning.

Developed an interactive HR dashboard, analyzing data for 1,470 employees, with insights on attrition rates, job satisfaction, and demographics.
Analyzed employee turnover data to identify a 16.12% attrition rate, conducting a detailed department-wise analysis that showed 56% of exits originated from the HR department, pinpointing critical retention issues.
Visualized age group distribution, showing the majority of employees (646) in the 25–44 age range, facilitating workforce planning strategies.
Enhanced decision-making by providing education field-wise attrition data, highlighting 89 exits from Life Sciences and 63 from Medical fields.
Improved workforce insights with job satisfaction analysis across 9 roles, identifying that Sales Executives had the highest satisfaction rating (326 points).