PRANAV GARG
Austin, TX (Open To Relocate)
+1-512-***-**** ******.****@******.*** https://www.linkedin.com/in/pranvgarg/ https://github.com/pranvgarg/
EDUCATION
The University of Texas at Austin - McCombs School of Business M.S. Business Analytics (GPA: 3.8/4) Jun 2024 - May 2025
•Product & Project Management, Privacy Preserving Analytics, Financial Management, Marketing & Supply Chain Analytics
University of Vellore Institute of Technology B.Tech. in Information Technology (GPA: 8.72/10) Jun 2018 - May 2022
•Business Mathematics, Machine Learning, Artificial Intelligence, Statistics Fundamentals, Data Visualization
PROFESSIONAL EXPERIENCE
NetApp Technical Lead (Capstone Project) Jan 2025 - May 2025
•Enhanced targeted marketing strategies by 25% through analysis of website traffic data (7M+ rows), implementing statistical models including classification and clustering algorithms to identify user engagement patterns
•Increased conversion rates by 2% and estimated annual net profit by $300K through data-driven market segmentation and targeted marketing recommendations based on detailed ROI analysis
•Designed comprehensive dashboards ensuring alignment with organizational metadata management practices, facilitating consistent monitoring and robust reporting aligned with enterprise data governance policies
Kimberly Clark Data Solution Engineer Sep 2023 - Jun 2024
•Improved data quality management by 20% through structured analysis, root-cause methodologies, and the implementation of standardized data governance frameworks, collaborating with 3+ cross-functional teams to create strategic dashboards
•Streamlined Coupa onboarding to reduce supplier integration time by 25% (40 mins), boosting overall operational efficiency
•Achieved $500M annual savings by consolidating regional SAP Ariba systems into global Coupa platform, integrating direct and indirect supplier data and eliminating duplicates
•Mitigated invoice processing times by 30% and manual errors by 95% through methodical requirements gathering and technical solution development, implementing ABAP and XML solutions within SAP CPI
•Optimized inefficient workflow operational by 8%, by building robust ETL pipelines and unified systems ensuring alignment with enterprise-wide data governance policies and quality management, directly supporting compliance
Kimberly Clark Business Analyst Sep 2022 - Sep 2023
•Accelerated approval cycle time by 12% by leading procurement digitalization as Scrum Master, conducting detailed requirements gathering sessions and implementing streamlined workflows based on stakeholder feedback analysis
•Refined metadata management and query performance by 30% through SQL optimizations, enforcing standardized definitions and maintaining compliance with data governance standards
•Reinforced master data accuracy by 15% through automation of data validation processes and API integrations, enforcing data quality standards and facilitating effective data stewardship
•Amplified procurement team efficiency by 35% through supervising development of GenAI-powered chatbot, leveraging user requirement analysis and Azure/OpenAI implementation to create data-driven solutions
Kimberly Clark Data Governance Jan 2022 - Jul 2022
•Obtained 95% data accuracy by transforming SKU metadata management workflows using Collibra, analyzing data quality issues and implementing solutions that improved data stewards processes
•Diminished technical team workload by 80% through MDM solution implementation based on comprehensive stakeholder requirements analysis and user-centered design principles
•Ensured compliance and effectiveness of Master Data Management (MDM) solutions through detailed data governance frameworks and rigorous validation processes (SIT/UAT), documenting requirements and validating functionality against business specifications
•Collaborated with project team to conduct thorough effort estimation and planning for out-of-the-box asset model using Collibra
SKILLS
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•Software: Azure, AWS, GCP, Snowflake, Coupa, Tableau, Power BI, Docker, Lucidchart, SAP MM/PP module, Excel
•Languages: R, Python (Keras, Scikit-Learn, Neural Networks), SQL, Java, RDBMS, ABAP, C, C++
•Concepts: Data Masking, Master Data Management, Auditing, ERP Transformation, BigQuery, A/B Testing, Data Governance, Regression, Data Quality, Data Visualization, Data Warehouse, Software Testing
•Soft Skills: Communication Skills, Agile Methodology, Strategic Thinking, Team Motivation, Adaptability
•Certificates: Collibra – Data Governance & Data Stewards Lead Certificate
TECHNICAL PROJECTS
Market Segmentation Consumer Interest Profiling Nov 2024 - Dec 2024
•Improved targeted marketing strategies as measured by identifying 4 distinct consumer segments through clustering analysis, enabling precise marketing recommendations focused on various user groups
•Accomplished targeted marketing recommendations as measured by the identification of key interest drivers by executing comprehensive EDA, correlation, and latent factor analysis
Portfolio Optimization Finance Strategic Stock Selection Nov 2024 - Dec 2024
•Exceeded NASDAQ 100 index by 3% as measured by out-of-sample performance by creating a financial modeling technique to optimize stock portfolio selection of 15 out of 100 stocks using integer and linear programming
Data Management Architecture Costco Wholesale Oct 2024 - Nov 2024
•Build data strategy by designing OLTP/OLAP systems with Oracle SQL Server, conducting EDA on OLTP datasets, and creating data warehouse framework to enhance governance, security, and operational efficiency