About
MY BACKGROUND
I am a recent Ph.D. graduate, advised by Matthew Reimherr, from the Department of Statistics at Penn State University. My experiences from interning, consulting, and collaborating with scientists across the industry and academic settings have taught me the importance of practical domain knowledge and effective communication. I like tackling open-ended problems and exploring new avenues to push research boundaries.
Research Interest
Functional Data Analysis
Non-Linear Modeling
Dimension Reduction
Machine Learning
Deep Learning

Education
2016–2021
Penn State – State College, PA; Class of 2021
PhD in Statistics
Dissertation: Statistical Methods for Non-Linear Modeling in Functional Data.
2016–2019
Penn State – State College, PA; Class of 2019
MS in Statistics
Thesis: Comparison of Different Density Estimators for Infinite Dimensional Exponential Families.
2014–2016
University of Mumbai - Mumbai, MH, India; Class of 2016
MS in Statistics
Experience
Oct 2021-Present
Machine Learning Researcher
Industrial AI Lab | Hitachi America
May 2019–Aug. 2019
Research Scientist Intern
Industrial AI Lab | Hitachi America
Aug 2016–Aug 2021
Graduate Consultant, Research Assistant,
Instructor, Teaching Assistant
Statistics Department | Penn State
2011–2014
Ramnarain Ruia College - Mumbai, MH, India; Class of 2014
BSc in Statistics

Research
Modern Non-Linear Function-on-Function Regression
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Non-linear Functional Modeling using Neural Networks
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A Non-linear Function-on-Function Model for Regression with Time Series Data
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Spatio-Temporal Functional Neural Networks
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Conferences
Presentation
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JSM 2021
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SDSS 2020
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Poster
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JSM 2019
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Penn State 2019

Skills
Statistical: R, Minitab, SPSS, SAS, Weka
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Software & Tools: Python, SQL, Jupyter Notebooks Weka
Awards
Outstanding Graduate Student Award
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Exemplary Achievement Student Award
Interests
Travel Entertainment
Hiking AI
Tennis Football
Certificates
Institute of Actuaries of India (IAI)
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CT1-Financial Mathematics
CT3-Statistics
CT7-Business Economics
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Coursera
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SQL for Data Science
Data Structures
Neural Networks and Deep Learning
A Crash Course in Casualty
Languages
English Hindi
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Marathi Kannada
Membership
ASA, IMS, IAI

