Summary
Overview
Work History
Education
Skills
Timeline
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Shoba Rathore

Portsmouth,VA

Summary

Results-oriented professional with a robust background in data analytics and supply chain operations, leveraging hands-on experience with IBM Supply Chain Intelligence (SCI), Alteryx, SQL, rate uploads, and EDI processes. Expertise in gathering, validating, and organizing transportation and logistics data to enhance inbound operations and optimize vendor management at Dollar Tree. A strong analytical foundation, complemented by experience in machine learning and data analytics at Amazon, drives a passion for improving data accuracy, streamlining processes, and enhancing business operations. Committed to delivering actionable insights that support strategic decision-making and operational excellence.

Overview

8
8
years of professional experience

Work History

Data Analyst

Dollar Tree Stores
Chesapeake, VA
09.2023 - Current
  • 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.
  • Utilized data visualization tools to effectively communicate business insights.
  • Used statistical methods to analyze data and generate useful business reports.
  • Supported inbound transportation and logistics operations by analyzing and validating shipment, rate, and vendor data to ensure accuracy across systems.
  • Worked extensively with IBM Supply Chain Intelligence (SCI) to monitor transportation data, investigate discrepancies, and support operational reporting.
  • Performed rate uploads and validations in transportation systems, ensuring correct rate structures, effective dates, and carrier alignment.
  • Used SQL to extract, analyze, and troubleshoot transportation, shipment, and rate data for operational and reporting needs.
  • Built and automated workflows using Alteryx to streamline data preparation, identify issues, and improve reporting efficiency.
  • Provided technical support to vendors and carriers through the Customer Vendor Portal (CVP), resolving data, EDI, and shipment-related issues.
  • Worked with EDI transactions (204, 214, 210, 990, 997) to interpret errors, validate data flow, and support smooth system communication.
  • Investigated data mismatches across systems and collaborated with cross-functional teams to resolve issues impacting shipments and billing.
  • Assisted in maintaining data quality by identifying duplicate, missing, or incorrect records and implementing corrective actions.
  • Collaborated with internal stakeholders to understand business requirements and align data analysis with operational goals.
  • Supported reporting and ad hoc data requests to help teams track performance and identify process improvement opportunities.
  • Acted as a TSA support resource for Family Dollar during the Dollar Tree and Family Dollar separation, assisting with system transitions, data continuity, and issue resolution.
  • Onboarded and supported multiple carriers, coordinating system setup, data validation, and EDI readiness to enable smooth operational integration.
  • Onboarded and supported multiple carriers, coordinating system setup, data validation, and EDI readiness to enable smooth operational integration.

Machine Learning Data Associate

Amazon- Alexa Data Services
Hyderabad, India
05.2018 - 07.2021
  • Demonstrated respect, friendliness, and willingness to help wherever needed.
  • Learned and adapted quickly to new technology and software applications.
  • Developed strong communication and organizational skills through working on group projects.
  • Acted as a team leader in group projects, delegating tasks and providing feedback.
  • Developed database for Alexa and Echo devices of Amazon. Derived information for the team quality metrics daily using BI as a platform.
  • Implemented advanced analytical solutions to real business problems leveraging Machine Learning algorithms and Business Intelligence tools that have impacted the business and end-user experience.
  • Worked with Django, Python, and HTML/CSS to create a web application for team formation that allows admin to pair participants for group projects. Mentored various teams of engineers (new hires) to develop the best technical design and approach to complex problems.
  • Feedback from UAT was collected from the transcriber and annotators using the current application and used the information to design and develop a new application named Mercury with improved performance and efficiency.
  • Worked on creating five different annotation workflow applications as part of the Mercury application launch on annotation. The workflow apps include annotation, session annotation, session annotation list context, annotation next, and NT annotation.
  • Onboarding documents were created, which are being used across the sites in Amazon for training associates.
  • Played a critical role in improving Alexa’s natural language understanding, achieving improved CX quality metrics and positive business impact.
  • Worked with a team of researchers and data experts in the design, development, testing, and deployment of natural speech and language data processes and model improvements, supporting a range of products.
  • Experienced in using Python, RStudio, SQL, and ETL solutions to perform statistical analysis and to implement machine learning algorithms utilizing different packages.
  • Assisted in the design and development of highly available dashboards and metrics using appropriate solutions.
  • Demonstrated expertise in optimizing the efficiency of the inbound logistics department through expanded knowledge and strategic contributions.

Education

Master of Science - Data Analytics

Indiana Wesleyan University
Marion, IN
05-2027

Master of Science - Computer Science

Missouri State University
Springfield, Missouri, MO
12-2022

Bachelor of Science - Computer Science

St. Francis College For Women
Hyderabad, India
04-2018

Skills

  • SQL (data extraction, joins, validation)
  • Alteryx (workflow development, data preparation, automation)
  • Microsoft Excel (analysis, pivot tables, formulas, validation)
  • Data analysis and reporting
  • Cost analysis and savings identification
  • Data validation and reconciliation
  • Business intelligence and metrics analysis
  • ETL concepts and data preparation

Timeline

Data Analyst

Dollar Tree Stores
09.2023 - Current

Machine Learning Data Associate

Amazon- Alexa Data Services
05.2018 - 07.2021

Master of Science - Computer Science

Missouri State University

Bachelor of Science - Computer Science

St. Francis College For Women

Master of Science - Data Analytics

Indiana Wesleyan University