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Aanchal Bumb

@aanchalbumb

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Data Analyst at Avis Budget Group who cut vehicle idle time by 5% across 150+ locations with SQL and Tableau.

India

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At Avis Budget Group, I use SQL and Tableau to turn fleet operations data into actionable insights. My vehicle-shuttling analysis reduced idle time by 5% across 150+ locations.

I also developed a Python-based maintenance forecast for 500k+ vehicles, helping location managers reduce vehicle downtime by 20%. I created a company-wide Tableau dashboard to track operational compliance, fleet health, service throughput, and dwell time.

In Data Analysis and M&D at Avis Budget Group, I built tire-maintenance analytics that decreased costs by 10%, and developed an R-based KPI framework for technician productivity. My SQL analysis of glass costs identified opportunities that led to $1M in nationwide savings within three months.

Earlier, as a Data Analysis Intern and Operations at Eddie Bauer, I investigated warehouse and logistics inefficiencies. My workflow improvements reduced daily processing time by 45 minutes and misplaced inventory and shipping errors by 10%.

Experience

Work history, roles, and key accomplishments

Current

Data Analysis, Business Intelligence

Current

Avis Budget Group

Nov 2024 - Present (2 years)

Reduced vehicle idle time by 5% across 150+ locations by streamlining shuttling vehicle data with SQL and creating Tableau dashboards. Developed predictive oil change forecast for 500k+ vehicles using Python and SQL, reducing vehicle downtime by 20%.

SQL Tableau Python Palantir ETL Data Wrangling predictive modeling Pandas scikit learn Data Pipelines Fleet Operations KPI development

Data Analysis and M&D

Avis Budget Group

Sep 2022 - Nov 2024 (2 years 2 months)

Decreased tire maintenance costs by 10% by uncovering usage patterns and building an automated Python script integrated with SQL queries and Tableau dashboards. Realized $1M nationwide cost savings within 3 months by executing SQL queries to identify high-impact cost variances.

SQL Python Tableau R KPI development Cost Analysis Data Analysis Vendor Selection Resource Allocation

Data Analysis Intern and Operations

Eddie Bauer

Jun 2021 - Aug 2021 (2 months)

Improved daily warehouse processing time by 45 minutes by investigating system inefficiencies and implementing optimized workflow documentation and solutions. Minimized misplaced inventory and shipping errors by 10% by conducting Root Cause Analysis on logistics bottlenecks.

Root Cause Analysis Workflow Optimization Logistics Data Analysis Process Improvement