Sunil Menon
Scottsdale, AZ *5258
accv1c@r.postjobfree.com
Home: 480-***-**** Mobile: 480-***-****
SUMMARY
Innovative Product Management professional with over 18 years of experience.
Proficient in machine learning methods such as neural networks, support vector machines,
decision trees as applied to anomaly detection and diagnostics. Able to apply novel
technical solutions to a range of problems, understand business objectives, lead staff,
manage vendors – all to effectively deploy technical talent to achieve business goals.
Proven record of design and implementation of complex predictive modeling projects
ranging in size from $500K to $20M.
8 years of experience in technical management. Currently manage a global team of 14
direct reports and 50 indirect reports.
10 years of experience in developing predictive modeling solutions in a Corporate
Research and Development environment for a number of varied applications in Aerospace.
Ph.D. and Masters Degrees in Nuclear Engineering, and Masters Degree in Management
Science and Engineering.
Program management experience includes program planning, budget preparation, day-to-
day task management.
Experienced in making presentations to internal and external customers as well as to upper
management.
Published over 30 technical papers in technical journals and conference proceedings on
machine learning methods and applications. Have over 15 patents.
Experienced in Matlab, and R. Basic knowledge of SAS, Hadoop.
PROFESSIONAL EXPERIENCE
Honeywell International – Aerospace Business Group (July 2006 – Present)
Technical Manager – Condition Based Maintenance Center of Excellence, Phoenix AZ
Key Responsibilities and Accountabilities:
Provide operational and thought leadership, identify business opportunities and spearhead
strategic global expansion and growth plans.
Management of employee reviews, salary planning and resource management. Manage
department budget.
The position reports to the Senior Engineering Director and manages a global team of 14
direct and 50 indirect reports.
Key Achievements:
Develop and implement the next generation Onboard Maintenance System and associated
Offboard tools for General Aviation aircrafts. This product extensively uses predictive
modeling techniques for superior anomaly detection and diagnostics as compared with
previous generation product.
Lead the development and deployment of the Integrated Engine Services (IES) program for
trending and diagnostics of TFE731 and HTF700 propulsion engines.
Plan and developed the Predictive Trend Monitoring and Diagnostics (PTMD) web-based
service for Auxiliary Power Unit product diagnostic algorithm updates. PTMD has about
3000 engines being monitored for about 35 airline customers. Responsible for the
deployment of the Zing® web-based service for diagnostics and decision support for
aircrafts. Activities include working with Marketing to align product development with
strategic plans, and to plan and execute the product design and development.
Eaton Corporation – Innovation Center (Aug 2005 – July 2006)
Engineering Specialist – Decision and Controls Department, Minneapolis, MN
Key Responsibilities and Accountabilities:
Program manager and Staff Engineering role – managed the day to day task execution of
key programs and provided thought leadership to internal division on predictive and
diagnostic technologies.
Reported to the Engineering Director.
Key Achievements:
Program Manager on aircraft hydraulic system diagnostic and prognostic system
development. System based on statistical methods and nonlinear classifier methods such as
support vector machines. Leading application of the diagnostic and prognostic system to
the Joint Strike Fighter (JSF) and commercial industrial/mobile hydraulic systems.
Lead member of cross-functional team to develop technical solution strategies to support
Eaton services business models in Eaton Aerospace, Hydraulic Operations, and Eaton
Truck business groups. Initial service business roll-outs in Q3 2006.
Honeywell International – Advanced Technology Center (September 1996 – Aug 2005)
Principal Scientist – Information and Decision Technology Department, Minneapolis, MN
Key Responsibilities and Accountabilities:
Develop advanced predictive modeling techniques for a variety of internal and external
customers.
Key Achievements:
Lead Engineer/Scientist in the development of fault diagnostic and prognostic algorithms
based on neural networks, fuzzy logic and wavelets on commercial aircraft APUs. The
developed algorithms provide an unprecedented level of incipient fault detection and
diagnosis accuracy.
Lead Scientist on a $1.2M program with General Dynamics to develop diagnostic and
prognostic methods for the power transmission system of the Expeditionary Fighting
Vehicle (EFV).
Principal Investigator on a program to develop fault detection, diagnosis and prognosis
algorithms in helicopter gearboxes (epicyclic gears) used in a helicopter Health and Usage
Monitoring System (HUMS) product.
EDUCATION
Doctorate Degree in Nuclear Engineering (1996)
Texas A&M University, College Station, TX
Master’s Degree in Management Science and Engineering (2009)
Stanford University, Palo Alto, CA
Master’s Degree in Nuclear Engineering (1990)
Texas A&M University, College Station, TX
Bachelor’s Degree in Electrical Engineering with Honors (1988)
Regional Engineering College, Trichy, India