Aditya Shibe is a data analyst with 4+ years of hands-on experience building ETL pipelines, forecasting models, and executive dashboards that translate large-scale data into business outcomes. Currently pursuing an MS in Business Analytics & AI at UT Dallas while supporting reporting and analytics across five departments, he has implemented Spark-based pipelines processing millions of records and achieved forecasting and churn-prediction models with >85% accuracy. Aditya has a strong track record of operational impact—identifying $120K+ in revenue opportunities, cutting reporting time by up to 40%, and automating SQL views to eliminate reconciliation overhead. Comfortable across SQL, Python, Spark/Databricks, Power BI/Tableau, and cloud data tools, he blends engineering rigor with business-facing storytelling. Based in Dallas and actively seeking Summer 2026 internships, he brings an engineer’s curiosity (self-styled “Robotista”) and a knack for turning messy operational data into measurable strategy.
8 years of coding experience
4 years of employment as a software developer
Master's degree, Business Analytics and Artifical Intelligence, Master's degree, Business Analytics and Artifical Intelligence at The University of Texas at Dallas
Bachelor of Engineering - BE, Electronics and Telecommunications, Bachelor of Engineering - BE, Electronics and Telecommunications at Vidyalankar Institute of Technology, Mumbai
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