gayathri challagundla
@gayathrichallagundla
Business analytics professional skilled in Azure data engineering, ML, and data-driven decision support.
What I'm looking for
I am a business analytics professional with hands-on experience building Azure data lakehouse pipelines, developing ML models, and delivering BI solutions that improve operational efficiency and revenue. I have delivered measurable impact across healthcare and supply-chain contexts, including identifying cloud cost savings, improving report accuracy, and reducing operational costs.
I excel at end-to-end data engineering, statistical modeling, and stakeholder collaboration, and I bring practical experience with Azure Data Factory, Databricks, Synapse, Power BI, Python, and SQL. I am focused on creating scalable, governed data platforms and actionable analytics to drive business outcomes.
Experience
Work history, roles, and key accomplishments
Business Analyst Intern
Advantum Health
Jul 2023 - Oct 2023 (3 months)
Assessed IT expenditure and identified 10% potential cloud hosting cost savings; implemented data validation improving report accuracy by 20% and developed Tableau dashboards that boosted revenue cycle efficiency by 20%.
Business Analyst Intern
Sai Nandini Dairy
May 2022 - Dec 2022 (7 months)
Analyzed production and supply chain data to reduce operational costs by 15% and improve inventory turnover; processed 100,000 records to deliver insights that drove 15% performance improvement and supported launches that grew revenue 10%.
Education
Degrees, certifications, and relevant coursework
The University of Texas at Dallas
Master of Science, Business Analytics and AI
2024 - 2025
Grade: 3.5/4
Master of Science in Business Analytics and AI with a 3.5/4.0 GPA, focusing on analytics, machine learning, and cloud data engineering.
Vellore Institute of Technology
Bachelor of Business Administration, Business Administration
2020 - 2023
Grade: 3.7/4
Bachelor of Business Administration with a 3.7/4.0 GPA, emphasizing business analytics, supply chain analysis, and data-driven decision making.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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