Supply Chain Business Analyst

KEERTHANA SHEKAR CHANDRASHEKAR

+1-704-***-**** ********@*********.*** Charlotte, NC - 28262 www.linkedin.com/in/keerthana-shekar-chandrashekar

SUMMARY

Results-driven Supply Chain and Business Analyst with 4+ years of experience in data analytics, process optimization, and operational management. Proficient in demand forecasting, inventory tracking, logistics coordination, and process improvement. Skilled in SQL, Power BI, Tableau, and predictive analytics for data-driven supply chain decisions. Experienced in Agile teams and driving operational efficiencies.

EDUCATION

University of North Carolina at Charlotte, North Carolina Aug 2024 – May 2026

Master of Science in Engineering Management. (GPA- 3.84/4.0)

Visvesvaraya Technological University, India Aug 2015 –Jun 2019

Bachelor’s in computer science and engineering

SKILLS AND LANGUAGES

•Programming Languages & Databases: Python, R, SQL, JAVA, C++.

•Tools: Lean Six Sigma, Tableau, MySQL Workbench, Microsoft Power BI, MS-Word, MS-Excel, MS-PowerPoint, Outlook, Lean, Six Sigma

•Scrum agile application: Jira

CORE COMPETENCIES: Supply Chain Analytics, Logistics Operations, Process Optimization, Data Visualization, Lean Six Sigma, Inventory Management, Procurement Analytics, Demand Forecasting, KPI Reporting, SQL, Power BI, Tableau, ANOVA, Root Cause Analysis, Project Management, Agile (Scrum), JIRA, Stakeholder Collaboration, Decision Support, Time Management, Project Management, Problem Solving,

PROFESSIONAL EXPERIENCE

ACCENTURE

Nov 2019-June 2024

Associate Product Manager

•Led operational analytics initiatives, utilizing Power BI and SQL to monitor logistics and inventory KPIs, resulting in improved on-time delivery and cost performance.

•Mapped out process requirements for cross-functional supply chain projects, aligning business goals with logistics operations and driving a 15% increase in process efficiency.

•Prepared logistics performance dashboards, identifying supply bottlenecks and operational delays, improving reporting accuracy for senior stakeholders by 20%.

•Applied Lean Six Sigma methodologies to optimize vendor management and reduce process delays within supply operations.

•Collaborated with stakeholders to define warehouse workflow improvements, leading to a measurable reduction in order processing times.

Business Analyst:

•Extracted, validated, and visualized operational and logistics data using SQL, Power BI, and Tableau to support supply chain performance analytics.

•Conducted root cause analysis for supply disruptions and delivery delays, contributing to 10% faster issue resolution.

•Created inventory and supplier performance reports for business operations teams, supporting data-driven procurement and stock management decisions.

•Coordinated with cross-functional logistics, operations, and procurement teams to align operational KPIs and project goals.

Excelsoft Technologies Pvt Ltd

ML/ Business Analyst intern July 2018-Aug 2018

•Analyzed operational review data and financial records to identify patterns affecting service delivery performance.

•Built data visualizations in Power BI to track delivery trends, performance variance, and process delays.

•Supported the development of predictive models to optimize operational decision-making.

CERTIFICATIONS AND PAPER PUBLICATIONS:

•SDS R Bootcamp from Datacamp

•Achieved a certificate in python programming, Coursera

•Power BI- Datacamp

•Lean Six Sigma White Belt Certification, The Council for Six Sigma Certification (CSSC)

•Foundations: Data Analytics- Google

•Review Rating Prediction Using Yelp Dataset International Journal of Innovative Science and Research Technology(IJISRT)

ACADEMIC PROJECTS:

HR Analytics – Employee Attrition Prediction

Aug 2024-Nov 2024

•Identified key factors affecting employee retention and turnover.

•Developed an attrition prediction model using ML algorithms.

•Developed an interactive dashboard in Tableau/Power BI to visualize attrition trends and insights for HR stakeholders.

•Provided HR with actionable insights for better employee engagement.

Warehouse Process Optimization Using Lean Six Sigma and Data Dashboards Aug 2025- Dec 2025

Capstone

•Collected and analyzed operational data on order processing and inventory turnover.

•Applied Lean Six Sigma DMAIC methodology to identify inefficiencies in warehouse picking and packing processes.

•Developed real-time Power BI dashboards to monitor KPIs like order accuracy, cycle time, and inventory stockouts.

•Recommended process improvements that reduced order fulfillment time by 18%.

Optimizing Customer Wait Times at a Multi-Location Quick-Service Restaurant Chain Aug 2024-Dec 2024

•Collected and analyzed operational wait time data across three restaurant locations to identify process inefficiencies during peak

hours.

•Applied one-way ANOVA to determine statistically significant differences in average wait times between locations.

•Performed root cause analysis revealing understaffing and equipment downtime as primary factors contributing to increased wait times.

•Recommended operational changes including optimized staffing schedules and preventive maintenance, resulting in a measurable reduction in peak-hour delays.

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