Data Analyst with more than 3 years of experience in analyzing large data sets and coming up with data-driven insights for early-stage service-based companies. Worked in teams of 8-12 team members.
Overview
4
4
years of professional experience
1
1
Certification
Work History
Data Analyst
Xpressbees
Pune
06.2022 - Current
Automation of existing reports to cut down manual intervention by 50% for analysis
Reduced processing time for weekly reports through automation, achieving 99% on-time delivery rate to stakeholders
Spearheaded development and implementation of revamped incentive structure for last-mile employees
Integrated performance-based bonuses tied to key metrics, resulting in remarkable 10% increase in on-time deliveries and 25% decrease in customer complaints
Created visually engaging dashboards to present data, offering stakeholders insightful understanding of critical numbers
Collaborated with HR team to identify improvement opportunities by analyzing key metrics and KPIs related to retention and monetization and brought monthly costs down by 5%.
Proficient in data manipulation using SQL to extract valuable insights and support informed decision-making
Conducted Root Cause Analysis (RCA) on incidents, leveraging analytical skills to uncover underlying issues and drive effective solutions.
Created various Excel documents to assist with pulling metrics data and presenting information to stakeholders for concise explanations of best placement for needed resources.
Produced monthly reports using advanced Excel spreadsheet functions.
Tested data prediction algorithms based on historical data.
Data Analyst
Delhivery Pvt Ltd
Porvorim
03.2020 - 05.2022
Applied data-driven analysis and cluster mapping techniques to segregate profitable zones, optimizing resource allocation
Conducted data mining and implemented restructuring with basic checks to enhance data quality and usability
Identified new business opportunities by recognizing untapped lanes, contributing to business expansion
Successfully understood and addressed client’s unique business requirements to provide tailored vehicle solutions
Monitored monthly and quarterly Profit & Loss (P&L) statements for major clients, ensuring overall profitability and client satisfaction
Collected optimal price quotes from third-party providers for market cluster lanes, optimizing cost-efficiency
Maintained data integrity and collaborated closely with supply team stakeholders to achieve performance targets and business goals
Managed team of 5 members.
Defined clusters by grouping data and analyzed regional performance to enhance overall business profitability.