Absenteeism at a Company during work time
Identified features causing employee absenteeism during working hours and affecting productivity and work quality.
Operation Executive
Highly motivated and analytical data analyst with a strong foundation in Mechanical Engineering, skilled in extracting insights from complex datasets to support informed business decisions.
Credence Resource Management
02/2022 – 10/2025 · Pune, India
Extracted and transformed data using SQL and MS Excel; gathered and reconciled data from CRM, policy management, and claims systems; created Power BI dashboards and reports for strategic reviews and decision-making; maintained and analyzed policyholder data; investigated data discrepancies; analyzed business performance metrics to identify cost-saving and revenue-growth opportunities.
Futuready Services Pvt. Ltd.
05/2021 – 08/2021 · Mumbai, India
Handled queries related to BSES Delhi while maintaining a maximum turnaround time of five minutes.
Bajaj Allianz General Insurance / Fluidonomics Solutions LLP
12/2019 – 12/2020 · Pune, India
Collected and validated data from multiple sources; prepared KPI reports covering sales volume, renewal rates, customer retention, claim ratios, and profitability; handled insurance claim data; coordinated claim status and settlement tracking; maintained claim records and ensured documentation and compliance with processing guidelines.
Innovsource Pvt. Ltd.
04/2017 – 06/2017 · Indore, India
Oversaw attendance and salary records for junior associates at Amazon Transport Services Pvt. Ltd. and supported logistics operations.
Bachelor of Engineering, Mechanical Engineering
2011 – 2015
HSC
2009 – 2010
Identified features causing employee absenteeism during working hours and affecting productivity and work quality.
Identified features responsible for subscriber churn and suggested actions to increase ARPU and minutes of usage.
Created a model to maintain data for automated texts sent to US-based customers, notify users of text inflow and outflow, and compare net value with organizational costs.