Anurag Agarwal — AI Researcher
• Experienced Mechanical Engineer in Data Science domain who uses data from multiple sources and combines it with domain knowledge to assess the health of physical assets and enable critical decision making for business growth. • Currently working as a Principal Data Scientist and responsible to produce actionable & impactful data driven insights in Prognostics & Health Management for GE Aviation Engines. • Interact with global airlines to drive their Digital Transformation, identify the opportunity in processes, implement data science solutions to enhance the business KPI. • 1 Patent Granted, 3 Patent Published, 2 Invention Disclosure, 3 GE Trade Secret • 3 International Publication (Prognostic and Health Management, Smart Material) • Certified Six Sigma Green Belt (DMAIC and DFSS) Hands-on expertise in the following: Machine Learning NLP Statistics & Probability Reliability Engineering Prognostics & Health Management (PHM) Data Mining Project Management Program Leadership Tools: Matlab, Python, R, SQL, Minitab, MS Office, SAS JMP, Reliasoft (Weibull ++, RGA), Crystal Ball Anurag is an effective communicator, excellent team player and detail oriented individual. Have collaborated with global, technically diverse and cross functional teams to achieve common goals.
Stackforce AI infers this person is a Data Science expert in the Aerospace industry with a focus on predictive maintenance and reliability engineering.
Location: Bengaluru, Karnataka, India
Experience: 20 yrs 7 mos
Skills
- Data Science
- Data Analytics
- Prognostics & Health Management
- Machine Learning
- Probabilistic And Optimization Method Development
- Engineering Management
- Condition Based Maintenance
- Reliability Engineering
- Engineering Development
- Technical Leadership
- Data Analysis
Career Highlights
- Expert in Prognostics & Health Management for aviation.
- Holds 1 patent and 3 international publications.
- Certified Six Sigma Green Belt with strong analytical skills.
Work Experience
GE Aerospace
Senior Principal Data Scientist (1 yr 8 mos)
Principal Data Scientist (6 yrs 5 mos)
Sr Staff Data Scientist (4 yrs)
Engineering Team Leader - Probabilistic and Design Optimization (1 yr 8 mos)
GE Power & Water
Lead Engineer - Condition Based Maintenance (2 yrs 10 mos)
Engineer - Reliability (2 yrs 1 mo)
General Electric
Edison Engineer (2 yrs)
Education
DAAD Scholarship at Karlsruhe Institute of Technology (KIT)
M.Tech at Indian Institute of Technology, Kharagpur
BE at College of Technolog and Engineering, Udaipur
