Shweta Keshari is a data specialist with 11 years of experience applying statistical modeling, data mining, and predictive analytics across industrial and research settings, currently advancing data initiatives at Caterpillar. She combines deep proficiency in SAS, SPSS, R (including ggplot2), SQL, Python and Matlab with practical project planning and risk management skills honed in construction and heavy-equipment domains. Her career blends applied research—leading an ODOT-FHA sponsored bridge materials study that produced her master’s thesis—with production analytics roles that drive decision-making and durability improvements. Comfortable with visualization and reporting tools like Tableau and PowerPoint, she translates complex models into actionable insights for cross-functional teams. An unusual strength is her background in concrete mix design and laboratory-based DOE, giving her a materials-science perspective that enriches lifecycle- and risk-focused analytics.
11 years of coding experience
12 years of employment as a software developer
Masters, Construction Management with minor in Business Administration, Masters, Construction Management with minor in Business Administration at Oregon State University
Bachelors, Civil Engineering, Bachelors, Civil Engineering at Utkal University
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