Summary
Overview
Work History
Education
Skills
Websites
Certification
Timeline
Generic

VIKAS S

Bangalore

Summary

Detail-oriented Data Analyst with 4+ years of experience specializing in Fleet Management, Operational Analytics, Business Intelligence, and Process Automation at Everest Fleet Pvt Ltd. Proficient in leveraging data to optimize fleet utilization, reduce operational costs, enhance driver performance, and improve vehicle efficiency. Strong expertise in SQL, Advanced Google Sheets, Looker Studio, Excel, Power BI, Python, and Tableau. Skilled at driving operational transformations, setting KRAs, and creating scalable processes in the transportation and mobility sector.

Overview

4
4
years of professional experience
1
1
Certification

Work History

Data Analyst – Fleet Operations

Everest Fleet Pvt Ltd
Bangalore
08.2021 - Current
  • Led a team of 6 analysts and executives to drive operational efficiency and data-driven decision-making.
  • Analyzed operational data for 5,000+ vehicles, improving utilization and trip fulfillment rates by 15%.
  • Implemented Cash Block process, accelerating driver outstanding recoveries and improving cash flows.
  • Built driver payment behavior models and operational dashboards in Google Sheets and Looker Studio.
  • Conducted hourly demand pattern analysis to guide drivers for better trip pickups and higher earnings.
  • Automated processes for Driver Onboarding (ID, BGC, Security Deposit, Agreement Signing, Vehicle Allocation).
  • Built Driver Ticketing Systems, Recovery Trackers, Asset Recovery Acknowledgment Forms, and Referral Management Sheets.
  • Core team member for launching the Inward-Outward module, reducing rental errors, allocation mistakes, and improving parking reconciliation.
  • Developed Digital Work Order systems and implemented Zoho for spares inventory management.
  • Increased onboarding success by 18% through sourcing and rejoining strategies.
  • Forecasted and solved supply dips using historical cohort models and incentive programs.
  • Handled detailed Driver Attrition analysis, supporting retention strategies based on data trends and feedback.
  • Built dashboards from Uber Supplier Portal data for operational insights.
  • Monitored RM productivity via AMEYO (talktime, login/logout, ABD call handling).
  • Extracted and analyzed large datasets using SQL and advanced Google Sheets for leadership decisions.
  • Set KRAs for sourcing, recovery, and operations teams aligned with business targets.
  • Designed Operations Incentive programs that improved productivity by over 10%.

Education

Bachelor of Engineering (B.E.) - Mechanical Engineering

AMC Engineering College
Bangalore
08-2017

Skills

  • Fleet Data Analytics
  • Driver Sourcing & Attrition Management
  • Process Creation & Automation
  • Google Sheets (Advanced)
  • Looker Studio
  • SQL
  • Python
  • Data Science Algorithms
  • Tableau
  • Power BI Reporting
  • Business Intelligence & Visualization
  • Driver Grievance Management & Retention
  • Operational KRA Setting & Incentive Design
  • Predictive Maintenance Modeling
  • Uber Supplier Portal Data Handling
  • RM Productivity Monitoring (Ameyo)
  • Workshop Efficiency & Spare Inventory Analysis
  • Cash Block and Debt Recovery Systems
  • Driver Rejoining & Referral Strategy

Certification

  • Data Science and Analytics Certification, Excelr Institute, Completed Training in Python, SQL, Tableau, and Data Science Algorithms. Machine Learning Models: Linear Regression, Logistic Regression, Clustering (K-Means), Decision Trees, K-Nearest Neighbors (KNN), PCA, Forecasting, and Natural Language Processing (NLP)
  • Internship, 2019, Worked as a Data Analyst Intern applying Python, SQL, and Machine Learning techniques.

Timeline

Data Analyst – Fleet Operations

Everest Fleet Pvt Ltd
08.2021 - Current

Bachelor of Engineering (B.E.) - Mechanical Engineering

AMC Engineering College

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