Summary
Overview
Work History
Education
Skills
Certification
Projects
Timeline
Generic

THARUN PRATTIPATI

Ann Arbor

Summary

  • Data analyst who enjoys digging into messy, real-world problems and understanding why systems don’t work as expected
  • Experience working with operational and customer data to uncover inefficiencies and turn them into practical, actionable solutions
  • Strong interest in analyzing customer behavior, retail systems, and process improvement opportunities

Overview

1
1
Certification

Work History

Data Analyst – Retail Client Work

Infosys
Chennai
10.2022 - 04.2023
  • Worked on support operations data for a U.S.-based retail client where teams were struggling with slow responses and growing ticket backlog
  • Explored ticket-level data to understand what was actually causing delays instead of just looking at surface metrics
  • Found that certain issue types (refunds, delivery problems) kept piling up and were not being handled efficiently
  • Also noticed that some agents were overloaded while others had fewer tickets, which was slowing things down overall
  • Put together simple but clear reports so teams could actually see where things were getting stuck
  • Helped teams shift focus toward the right problem areas instead of treating all tickets the same

Education

Master of Science - Information Systems

Central Michigan University

Bachelor of Technology - Computer Science

Kalasalingam Academy of Research and Education

Skills

  • Working with data: Comfortable pulling and shaping data using SQL and Python (Pandas, NumPy), especially when datasets are messy or incomplete
  • Making sense of it: Strong at exploring data, spotting patterns, and figuring out what’s actually causing a problem (not just what it looks like on the surface)
  • Turning insights into something usable: Build dashboards in Power BI and Excel that help people quickly understand what’s going on
  • Understanding behavior: Experience analyzing how customers act, what drives demand, and where systems break in real-world scenarios
  • Improving processes: Focused on identifying bottlenecks, fixing inefficiencies, and making workflows more practical and efficient
  • Thinking through problems: Approach problems with a mix of analysis and common sense, aiming for solutions that actually work in real environments

Certification

  • Microsoft Certified: Power BI Data Analyst Associate
  • Google Data Analytics Professional Certificate
  • Tableau Certified Data Analyst
  • IBM Data Analyst Professional Certificate

Projects

Fair Access in Toy Retail

Project:
Studied why premium toys (LEGO, Hot Wheels, Funko) sell out quickly and are not accessible to regular buyers

Work:

  • Analyzed sales patterns to understand who purchases and how fast inventory is consumed
  • Identified repeat buyers dominating premium stock
  • Segmented customers into collectors and occasional buyers
  • Built a dashboard to track stock-out speed and demand trends
  • Proposed phased releases and purchase limits

Outcome:
Improved accessibility insights while maintaining revenue from high-value customers

Skills:
SQL, Python, Power BI, Customer Segmentation, Demand Analysis

Project Execution Simulation

Project:
Simulated a retail expansion plan where execution delays affected timelines and resource usage

Work:

  • Mapped tasks, timelines, and dependencies
  • Identified delays caused by resource overuse and task dependencies
  • Built a tracking system to monitor progress and workload
  • Adjusted task sequencing and resource allocation

Outcome:
Improved execution flow and reduced delays

Skills:
Python, SQL, Power BI, Project Planning, Resource Allocation

Customer Support Workflow Analysis

Project:
Analyzed inconsistent response times in an e-commerce customer support system

Work:

  • Examined ticket data to identify slow-moving issue categories
  • Found refunds and delivery issues causing delays
  • Evaluated workload distribution across agents
  • Built a dashboard to highlight trends and inefficiencies
  • Suggested improvements in prioritization and task distribution

Outcome:
Improved visibility into bottlenecks and enhanced response efficiency

Skills:
SQL, Python, Power BI, KPI Analysis, Process Improvement

Timeline

Data Analyst – Retail Client Work

Infosys
10.2022 - 04.2023

Master of Science - Information Systems

Central Michigan University

Bachelor of Technology - Computer Science

Kalasalingam Academy of Research and Education
THARUN PRATTIPATI