Curriculum
Vitae
About me
I am a scientist with 3+ years of experience developing advanced Data Science solutions & providing performance data analytics for complex engineering problems for major clients from the construction & transport industry. I have 8+ years of experience developing mathematical models and programming quantitative solutions.
Data Scientist with demonstrated innovation capabilities
As a PhD in data science, I wear multiple hats.
I specialize in:
- Data Science & statistics
- Physics informed machine learning solutions
- Asset performance data analytics
Skills
DATA SCIEnCE
- Data-analytics
- Predictive modeling and forecasting
- Regression, classification, and clustering model development
- Dimensionality reduction: GSA, PCA
- Feature Engineering
- Performance analytics
- Data Communication & Visualization
- Causal inference using Bayesian Networks
- Hierarchical models
- Uncertainty quantification
Statistics
- Bayesian Decision and value of information analysis
- Model reduction using parametric and Global sensitivity analysis
- Machine learning surrogate models
- Statistical modelling of extreme values
- Development of risk-based decision support systems
- Gaussian Processes
- Random field simulation
- Signal processing
Software Engineering
- Python
- Docker
- MATLAB
- Linux Servers and Bash scripting
- C/C++
- SQL
- Software module development
- Version control (Git) & GitHub
- Unit testing for CI/CD
- Using Cloud HPC Severs
Structural Reliability Engineering
Probabilistic remaining service life assessment of degrading infrastructure
Structural safety, risk, and reliability estimation
Calibration of LRFD factors
Statistical modelling of extreme values
Design load and structural resistance uncertainty quantification
PROBABILISTIC ENGINEERING
Decision and value of information analysis
Life-cycle cost assessment, management, and optimization of structures
NDT and Structural Health Monitoring
Development of risk-based decision support infrastructure management systems
Probabilistic design optimization
Structural engineering automation and software module development
OTHER
Proficient in LaTeX typesetting and publishing.
Proficient in MS Word, Excel, Powerpoint
Scientific publishing, communication, and writing
Industrial Projects
2023-24
Monash University, Australia
Probabilistic optimization of PSC girder bridges
PI: Prof. Colin Caprani
In this project, I developed data science solutions for a major transport client to help them optimize their rail bridge assets. I played a lead role in developing these data-science solutions, handling clients, managing the instrumentation of assets for performance analytics, and writing technical reports. I was also responsible for instrumenting data acquisition systems on transport assets and providing the clients with asset health monitoring data analytics. I developed programmed probabilistic data science solutions for predicting the performance of their assets using reliability forecasting principles. I co-developed new statistical approaches for designing bridge assets and implemented them in a Python FOSS PySTRA. I utilized Bayesian statistics and extreme value theory to forecast rare events in asset performance. I also implemented OCR solutions in Python to extract material strength data provided by the Clients in the form of images. I developed Causal inference models to predict the material strength and hierarchical Bayesian models for predicting performance sensor measurements. Consequently, I optimised their assets by 20%, leading to a significant reduction in capital employed, material utilized, and carbon emissions.
2022-23
Monash University, Australia
Structural reliability assessment of corroding steel truss bridge
PI: Prof. Colin Caprani
In this project, I developed a probabilistic performance prediction model for a corroding three-span steel truss bridge in Queensland, Australia using physics-informed data-science techniques. Facing challenges due to corrosion, I refined the performance assessment model for critical girder and bracing members to prolong the bridge’s service life while minimizing costly repairs. Developing a scalable framework, I
addressed various probabilistic modeling challenges, including load uncertainties and resistance factors. Leveraging Python, I conducted extensive finite element analyses using libraries like sectionproperties and Pystra. I employed Bayesian statistics and conducted over 6000 reliability analyses, utilizing algorithms like First Order and Second Order Reliability Methods, and Monte Carlo simulation. Additionally, I co-developed a novel mathematical formula for tailored load combination factors, resulting in 300% more efficient designs. This initiative helped the client save $60 million in maintenance costs. Further, I developed a risk rating factor as a maintenance aid and actively engaged in client meetings, presentations, and co-authoring technical reports.
2021
Indian Institute of Technology Bombay, India
Remaining life assessment of multi-story residential RC Building
PI: Prof. Siddhartha Ghosh
Responsibilities: 3D analysis of RC frame in ETABS; modelling corrosion degradation; performance evaluation as per Indian Standards; preparation of report for client.
Relevant documents: IS456; IS875; IS1893
2021
Indian Institute of Technology Bombay, India
Probabilistic remaining service life estimation of steel storage tanks based on ultrasonic thickness measurements
PI: Prof. Siddhartha Ghosh
- Responsibilities: Load and Resistance uncertainty quantification; Bayesian data assimilation for updating steel plate thickness uncertainty; modelling corrosion degradation and progression; estimation of probability of plate thickness failure; optimum inspection scheduling
- Relevant documents: BS5500, API653
2019
Monash University, Australia
Structural Health Monitoring of Highway Bridges subject to permit loads
PI: Prof. Colin Caprani
Responsibilities: recording strain gauge data using data-acquisition system at multiple sites; signal extraction and processing using raw data in MATLAB; evaluation of bridge rating factor using bridge analysis data; structural reliability assessment; preparation of reports for client.
Relevant documents: AS5100.2, AS5100.7
2018
Indian Institute of Technology Bombay, India
ASCE 41-13 based Tier 2 seismic evaluation of 120 year old Masonry building
PI: Prof. Siddhartha Ghosh
Responsibilities: development of ETABS model for structural analysis of the masonry building; evaluation of seismic performance of building based on ASCE 41-13 Tier 2 check; preparation of project summary report for client; evaluation of proposed retrofitting work; assist in planning of detailed inspection campaign for the building.
Relevant documents: ASCE 41-13; IS456 2000; IS875; IS1893; Historical steel handbook by Dorman & Long
Experience
2022-Present
Monash University, Australia
Research Fellow
- I am responsible for developing cutting-edge Data Science-based solutions for complex engineering problems.
- My clients include major infrastructure asset owners in the transport industry, such as LXRP Victoria and Queensland Railways.
- I was also responsible for instrumenting data acquisition systems on transport assets and providing the clients with asset health monitoring data analytics.
- I managed the instrumentation project & team; and held a client facing role in all the projects.
- I programmed scalable and automated solutions, and implemented them in Software.
- I was also responsible for data visualization and all technical documentation preparation, and communication of results to the client.
- Much of this work is published in highly reputed international scientific journals.
- These solutions helped my clients save $60 million in their maintenance repair budget and optimize their designs by at least 20%.
2021-2022
Indian Institute of Technology Bombay, India
Research associate
- I was responsible for developing data science solutions for infrastructure assessment and management for a major Oil & Gas industry client in India.
- I utilized health monitoring data to provide the client with performance analytics.
- I developed probabilistic solutions for performance assessment of Oil & Gas assets.
2019-2020
Monash University, Australia
Research Officer
- My primary responsibility in this position was to develop data-science solutions for a multi-million dollar project in the transport industry.
- I developed solutions for probabilistic assessment of highway bridges for VicRoads using advanced statistical analysis techniques.
- I also helped instrument assets with information acquisition systems. I was responsible for filtering and processing this data using Bayesian statistics for performance analytics.
2016-2013
Monash University, Australia
Doctoral Researcher
- My primary responsibility was to develop advanced data science solutions for data acquisition problem for the transport infrastructure assets.
- I developed 99.5% more efficient machine learning surrogate models for Bayesian data value analysis.
- I also developed solutions for model dimensionality reduction using Global sensitivity analysis and feature engineering.
2012-2013
ZMInfocom, India
GRaduate instructor
My responsibilities included:
Development of teaching curriculum and material for various courses for civil engineering students.
Teach/instruct students with the developed curriculum for the following courses: Building design and drawing, strength of materials, design of reinforced concrete buildings, and design of steel structures.
Teach/instruct students in computer programming in MATLAB and Python.
Supervise civil engineering students in planning and completion of B. Tech. projects and case studies.
Scientific Projects
Doctoral Research
Risk-based decision support system for infrastructure assessment using value of SHM information
Developed a comprehensive value of information framework based on Bayesian pre-posterior analysis for quantifying the potential monetary benefits of structural health monitoring techniques for structural performance assessment
Quantified potential monetary benefit of SHM as a decision-support tool for management of RC Bridges subject to heavy loads
Doctoral Research
Efficient infrastructure decision value analysis model development using dimensionality reduction and computational cost reduction techniques
Developed a Global sensitivity analysis framework for model reduction for Value of Information analysis
Developed a 99.5% more efficient Polynomial Chaos Expansion and Kriging Metamodels for infrastructure decision value analysis model
Masters Research
Stochastic Algorithm to simulate transverse cracking in Reinforced-concrete members
Developed an advanced stochastic model for simulating the transverse cracking phenomenon in reinforced concrete tie-beam specimens.
Developed a statistical model for spatially varying minimum concrete tensile strength.
Quantified uncertainty within concrete crack control provisions of EuroCode2 and FIB Model Code 2010.
Education
2016-2022
Doctor of Philosophy (Phd)
- Institution: Monash University and Indian Institute of Technology Bombay
- Specialization: Engineering
2013-2015
master of technology (Mtech)
- Institution: National Institute of Technology Warangal
- Specialization: Engineering Structures
2008-2012
bachelor of engineering (Be)
- Institution: Rajiv Gandhi Technological University Bhopal
- Specialization: Civil Engineering
Software
Others
Achievements
Published many peer reviewed international journal papers and peer reviewed international conference papers
Best Civil Engineering Pitch award, Civil Engineering Department, Monash University. [2020]
Awarded Erasmus Mundus HERITAGE scholarship by European Union. [2014]
Post Graduate Student Scholarship by All India Council of Technical Education (A.I.C.T.E.), India. [2013]
99 percentile in Graduate Aptitude Test in Engineering (G.A.T.E.), All India Rank 731 out of approximately 67500 Candidates. [2013]
Professional Memberships
Engineer’s Australia Professional Structural Engineer ANZSCO 233214
Certifications
Pearson’s Test of Academic English (PTE) 90/90 [2022]
IELTS (General) 8.5; L: 9 R: 8.5 W: 7.5 S: 8. [2021]
Certified 2.5 ECTS for TU1402 Training School, on the Value of Structural Health Monitoring Information at Trogir, Croatia. [2018]
Certified 60 ECTS from Ecole Centrale de Nantes, France, for Master of Science in Applied Mechanics and Civil Engineering [2015]
Volunteering
Open Steel Design and Graphics (OSDAG) (2015 – 2021)
Conducted multiple hands-on training workshops on the software for civil engineering academics and practicing engineers.
Organized OSDAG prelaunch workshop in 2016.
Developed video tutorials for the software.
Monash Smart Structures (2019)
Assisted as a technical operator in two structural health monitoring projects for highway bridges subjected to super loads
Career guidance and assistance for underprivileged students in India (2016 –)
Organize and conduct career guidance sessions with the help of local NGOs.
Developed and disseminated free career guidance material for NGOs.
Organize talks from experts in various fields.
Raising money for financially weak students through volunteer networks.