Dr. Lakshminarayan is a researcher, technologist, developer, inventor, consultant, educator, and author dedicated to the advancement, application, and dissemination of statistics. His core expertise is Mathematical Statistics, strongly supported by Applied Mathematics, Computational Statistics, Statistical Signal Processing, Data Mining, Machine Learning, Scientific Computing, Industrial Mathematics, and Statistical Process Control and Design of Experiments.
Industry and Research
Choudur's expertise is applied to many application areas, including digital marketing, marketing optimization, e-commerce, energy, finance, query optimization, statistical and mathematical algorithms, cyber-security, healthcare, real estate, and semiconductor manufacturing. As a technologist and developer, he wrote algorithms that power marketing optimization applications, query optimizers in databases, customer segmentation in digital marketing, and sales pipeline analytics to forecast revenues. As a researcher, he developed algorithms for anomaly detection in data centers, turbulence detection in oil flows (energy), resource utilization in intensive care units (ICU), and anomaly detection in bio-signals (wearable computing). These research efforts were developed as part of proof of concepts (PoC), and demonstrators. He holds 24 granted patents, 3 allowed patents, a defensive publication, and 20 more pending. He has published many peer reviewed papers in journals and international conferences.
Consulting and Education
As a consultant, Choudur has provided his expertise across businesses in banking, real estate, medical claims, law, industrial design, and auto financing. As an educator and evangelist, he speaks at symposia, colloquia, conferences, local chapters of IEEE, and the American Statistical Association. He teaches courses on “Statistics and Big Data” and Linear Models as Adjunct Assistant Professor at The University of Texas at Austin. He also is writing a book (CRC Press-Chapman-Hall) on predictive analytics for researchers and industrial practitioners, and serves as a frequent reviewer and conference program committee member. He mentors many students and colleagues, who have achieved placements at Apple, Facebook, SAS Institute, Texas Instruments, and AT&T among others.