VIJAY DWIVEDI
Address: G-034, ASSETZ MARQ, Whitefield Hoskote Main Road, Bangalore, 560067, Karnataka, India
https://github.com/VijayDwivedi-ml/
-
-
https://www.linkedin.com/in/vijaydwivedi/
Profile Summary
❖
Accomplished Business Strategist with over 20 years of expertise in aviation and engineering, driving innovation and
delivering strategic insights for complex technical and business challenges.
❖
Played a pivotal role in overseeing the development of the Departure Record AI tool, providing MRO shops with
insights into lead times for DR completion based on historical trends
❖
Facilitated the research and development of advanced statistical and AI/Machine Learning models, utilizing linear and nonlinear regression methods and Gaussian processes in Python.
❖
Experience with building machine learning models on GCP & Utilized Google BigQuery for data analysis and preprocessing
❖
Leadership in Asset Management: Directed a team of professionals in creating, customizing, and deploying an
Analytics Based Maintenance (ABM) plan for hot gas path components, achieving a 20% increase in Time on Wing (TOW),
reducing maintenance burden, and minimizing unscheduled engine removals for the GE90/GP fleet.
❖
Accomplished Data Scientist with expertise in defining business problems, work with and manipulate data,
develop data science and analytical algorithms & solutions, and develop analytical models into production
environments. Researched & developed advanced statistical and AI / Machine Learning models
Core Competencies
Data Analysis and Data Science
Customer Centric Innovation, LEAN
GCP, BigQuery, TensorFlow, Keras
Technology Evaluation & Selection
Strong Industry Experience
Python, SQL, DATAIKU, Databricks
Soft Skills
Education
Collaborator
Communicator
2009
Planner
M.Sc. (Mechanical) from
University of Strathclyde,
Glasgow, UK
Innovater
Intuitive
Certifications
GE Analytics Engineer, Certified Google Professional Machine Learning
Engineer, Certificate in Nuclear Science & Engg -), BARC
1998
B.Tech. (Mechanical) from GB
Pant University of Agril &
Technology, Pantnagar
Personal Details
Date of Birth:2nd July 1976
Languages Known: English and Hindi
Career Timeline-
IGCAR, Scientific
Officer
-
-
GE (Gas Turbine),
Lead Engineer
-
L&T, Manager
-
GE Aerospace, Staff
Engineer, Life
Management
-
GE Aerospace, Sr
Staff Data Scientist
Since--Aug 2024
GE Aerospace,
Program Manager
(Forecasting)
Since Sep 2024
Partner, Vatsala
Burette & Pipette
(OPC) Ltd
Work Experience
Since Sep’24: Partner, Vatsala Burette & Pipette (OPC) Ltd
❖ Train and mentor students in Artificial Intelligence and Machine Learning, utilizing industry-focused projects to bridge theoretical
knowledge with practical applications for two universities KL and LBRCE in Vijayawada.
❖ Design and develop AI based stock market tool for client (link: https://stockplay.streamlit.app/ )
Previous Experience
GE Aerospace,
Bengaluru
Growth Path:
2012 - 2019: Staff
Engineer
2019 – 2023: Sr
Staff Data Scientist
2023-Aug 2024:
Program Manager
(Forecasting)
Key Result Areas:
❖ ABM Leadership: Led a team of 10 engineers in developing and deploying a customized ABM plan
for hot gas path components, resulting in a 20% increase in Time on Wing (TOW), reduced
maintenance burden, and fewer unscheduled engine removals in the GE90/GP fleet.
❖ Customer Account Management: Managed APAC region customer accounts, leveraging insights
from Analytics-Based Maintenance (ABM) to enhance service quality and operational efficiency.
❖ Demand Forecasting: Designed a twin-model approach using Statistical method to improve
material demand forecasting, reducing Turnaround Time (TAT) for off-wing engines by 5%.
❖ Rule-Based Workscoping: Implemented rule-based workscoping for off-wing ESNs, achieving
85% accuracy in demand prediction and further reducing TAT.
❖ Algorithm Development: Developed a safety-critical counting algorithm in DATAIKU for GE90
projects, enhancing operational reliability.
❖ NLP Tool: Conceptualized and implemented a text-mining-based tool for Engine Service Manual
comparison across GE90, GEnx, and GP, reducing TAT by 5 days.
❖ Field Data Analysis Tool: Developed and deployed a web-based Field Operational Data Analysis
tool in R, enabling refined LCF-based life substantiation and saving three critical rotor components
from being scrapped.
❖ Engineering Leadership: Directed product development during preliminary and detailed design
stages, executing design upgrades and coordinating projects to ensure timely delivery while
addressing customer needs.
❖ Data Analytics Expertise: Pre-processed structured and unstructured data, analyzed large
datasets to identify insightful trends, and conducted feature engineering to uncover hidden attributes
that improved machine learning algorithm performance.
❖ Customer Collaboration: Worked closely with customers to assess functional requirements,
translating them into data analytics solutions. Identified and validated data sources to ensure
accurate and reliable analysis.
Mar’10 – Jun’12: L&T, as Manager
❖
❖
Mentored and led a team of engineers to do design verification and seismic qualification of Pressurizer in 700 MWe PHWR as per
ASME Sec III NB based on in-house tool
Conducted the successful technical negotiation with BARC for Rs 400 crore CREST Project, successfully bagged the same
Dec’06 – Aug’08: GE India, as Lead Engineer
❖
❖
Performed the Undercut (UC) Analysis of blade dovetail for Gas Turbine by understanding physics of the problem, correlated it with
2D to 3D FE result, employed sub-modelling technique in 3D model in ANSYS
Observed that rounding off radii do not have significant impact on the critical parameters governing the design of blade
Mar’06 – Nov’06: L&T, as Design Engineer
❖
❖
Conducted the variation studies for flexible plate, compared with aero profile in Variable Mach Number Flow Nozzle Project for NAL in
ANSYS and MATLAB
Parametric model for variation study in aero & elastic profile for multiple cases, resulted in 80% cycle time reduction
Sep’99 – Mar’06: Indira Gandhi Centre for Atomic Research, as Scientific Officer
❖
❖
Modified pump design to accommodate thermal expansion which resulted in 5000 hours of trouble-free operation
Conducted the thermal analysis of Steam Generator stud sleeves to assess the average temperature in the sleeve; helped in material
qualification of SA 193 Gr B6 material at 480 °C operations
