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To obtain a challenging position in high quality engineering environment where leveraging my research experiences and academic skills will add value to organizational operations
Indian Institute of Technology, Madras
Doctor of Philosophy (Ph.D.), Petroleum Engineering
January 1, 2013 – January 1, 2015
Indian Institute of Technology, Madras
Master’s Degree, Master of Science by Research in Ocean Engineering
January 1, 2010 – January 1, 2012
University B D T College of Engineering, Davangere, Karanataka
Bachelor’s Degree, Mechanical Engineering
January 1, 2003 – January 1, 2007
TechXEarthSpace Private Limited
Chief Technology Officer and Founder
June 1, 2023 – Present
Bengaluru, Karnataka, India · On-site
SayTrees
Principal Project Investigator
August 1, 2022 – May 1, 2023
Bengaluru, Karnataka, India · On-site
Rajiv Gandhi Institute of Petroleum Technology (RGIPT)
Visiting Faculty
May 1, 2021 – May 1, 2022
Bengaluru, Karnataka, India · On-site
The Hebrew University of Jerusalem
Postdoctoral Fellow
January 1, 2020 – May 1, 2021
Israel · On-site
University of Southern California
Postdoctoral Research Associate
January 1, 2017 – June 1, 2019
Los Angeles, California · On-site
Super-Wave Technology Pvt. Ltd, IISc Bengaluru
Project Manager
March 1, 2016 – December 1, 2016
Bengaluru, Karnataka, India
Research Associate at IIT Madras
Institute Post Doctoral Fellow
August 1, 2015 – February 1, 2016
Chennai · On-site
Lab and field scale hydraulic fracture studies of reservoirs with an emphasis on pore fracture geometry studies by developing fracture proppants and Microseismic estimations: Phase 1 and 2
April 1, 2015 – July 1, 2015
Design and development of new method of hydraulic fracturing equipment for Indian scenario Generating high resolution 3 component single point seismograms in a core sample in various directions of travel using Laser Doppler Vibrometer(LDV). Estimation of probable weak plane geometries in the core sample with Laser Doppler Vibrometer and tensor analysis study for anisotropic characterization of the core sample. Test fracture geometries in Acrylic samples/Tippam Rock samples for different uniaxial compressive external stresses. Real time fracture detection from microseismic data using Piezoelectric Transducers during fracturing process. Pump different class of proppants for conductive microfractures during Hydraulic Fracturing and improve the efficiency in recovering. X-ray tomography /CT scan study of different class of proppant behaviour for fracture surface characterization such as depth of penetration and improvement Design and development of new fracking method for Indian scenario
Wind, Waves and Tides: Alternative Energy Systems
Coursera Course Certificates
June 23, 2026 – Present
STANFORD CENTER FOR PROFESSIONAL DEVELOPMENT, STANFORD UNIVERSITY
Stanford University
June 23, 2026 – Present
Application in Engineering Mechanics
Coursera Course Certificates
June 23, 2026 – Present
Reservoir Geomechanics
Stanford Online
June 23, 2026 – Present
Quantum Mechanics Scientists and Engineers
Stanford Online
June 23, 2026 – Present
Introduction to Engineering Mechanics
Coursera Course Certificates
June 23, 2026 – Present
3.032x-Mechanical Behaviour of Materials
Open edX Community
June 23, 2026 – Present
ET.3034TU: Solar Energy
Open edX Community
June 23, 2026 – Present
Advanced Engineering Systems in Motion-Dynamics of Three Dimensional (3D) Motion
Coursera Course Certificates
June 23, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily rooted in academic research and specialized engineering fields (Petroleum, Ocean Engineering). While this demonstrates a strong intellectual curiosity and dedication, the direct alignment with a typical 'Data Analyst' role in a corporate setting is not immediately clear. The project diversity is limited to highly specialized scientific research. The lack of explicit data analysis tools or methodologies in the resume makes it difficult to assess cultural fit for a data-driven corporate environment without further information.
Soft Skills & Operational Fit
The candidate's background in research and academic roles suggests strong analytical thinking, problem-solving, and independent work capabilities. The project descriptions indicate a methodical approach to complex scientific problems. However, there is no direct evidence of communication skills in a corporate data analysis context or specific team collaboration experiences outside of academic research. The psychometric and English test scores are 0, providing no insight into these areas.