Aanchal Bumb

Associate Consultant

Pune City, Maharashtra, India3 yrs 4 mos experience
Highly Stable

Key Highlights

  • Reduced vehicle idle time by 2% across 150+ locations.
  • Improved warehouse processing time by 45 minutes.
  • Developed predictive forecasts for oil change needs.
Stackforce AI infers this person is a Data Analyst specializing in Business Intelligence and Supply Chain Management.

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Skills

Core Skills

Data AnalysisBusiness IntelligenceSupply Chain ManagementProcess Improvement

Other Skills

SQLTableauETLPredictive ModelingMicrosoft ExcelSupply Chain OptimizationV LookupsVendor ManagementSAP ERPStatistical ModelingInventory ManagementStatistical Data AnalysisDemand ForecastingLean ManufacturingLogistics Management

About

Data Analyst in Business Intelligence team enhancing visibility, analyzing trends in maintenance data like tires, glass, technician performance eventually facilitating operational improvement and cost optimization.

Experience

Avis budget group

Data Analyst, Business Intelligence

Sep 2022Jan 2026 · 3 yrs 4 mos · Parsippany, NJ

  • Reduced vehicle idle time by 2% across 150+ locations by streamlining Shuttling vehicles data with SQL and creating Tableau dashboards to provide actionable insights on driver productivity and process workflow
  • Eliminated blind spots for non-compliant sites by executing ETL processes in Palantir. Created Tableau dashboard and established national operational compliance metrics like fleet health, vehicle service throughput, dwell time giving leadership centralised single source visibility to mitigate risks and reduce vehicle downtime
  • Optimized workforce planning by developing a predictive oil change forecast to eliminate backlogs and maintain a healthy fleet. Utilized SQL-based data wrangling to align incoming oil change needs with annual staffing requirements
  • Accelerated customer throughput and fleet readiness by building SQL data pipelines to simulate operational nodes, investigating life-cycle of every incoming vehicle, monitoring average dwell time, delivering granular Tableau insights into 'clean-ready' vehicle availability and understaffed intervals
SQLTableauETLData AnalysisPredictive ModelingBusiness Intelligence

Pacsun, eddie bauer

Supply Chain Analyst

Jun 2021Aug 2021 · 2 mos · Columbus, Ohio Metropolitan Area

  • 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 conducting Root Cause Analysis (RCA) on logistics bottlenecks and implementing targeted workflow improvements
Microsoft ExcelProcess ImprovementSupply Chain Management

Education

Northeastern University

Master of Science - MS — Data Analysis

Aug 2021Sep 2022

Northeastern University

Master of Science - MS — Engineering/Industrial Management

Jan 2019Jan 2021

AISSMS College of engineering

Bachelor of Engineering - BE — Mechanical Engineering

Jan 2015Jan 2019

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