Dr. Eshaan Ghosh
AI Product Leader & Innovation Strategist
Transforming industries through AI-driven solutions and strategic product development
Professional Experience
- Spearheaded development of Veeva Compass National and Veeva Compass Prescriber, significantly advancing predictive analytics for U.S pharmaceutical markets.
- Secured first paid client within 6 months of launch, with projected 50% revenue growth.
- Successfully navigated complex stakeholder landscapes, influencing decision-makers at all organizational levels.
- Improved feature usage by 25% through continuous feedback loop implementation.
- Led 0-to-1 product development for Loyalty Programs, achieving 45% increase in customer engagement.
- Directed development of ML production pipelines for Customer Care app.
- Reduced cloud infrastructure costs by 20% through optimization.
- Primary data solutions architect for multiple transactional and analytics projects.
- Managed and led a team of 30 Ph.D. researchers and engineers in developing a Machine Learning-based model for electric vehicles, enhancing predictive safety capabilities and vehicular optimization.
- Developed research and development projects focusing on electric vehicle motor and control systems for major automotive companies.
- Directed the formulation and approval of research project specifications, ensuring compatibility with required engineering standards and codes for new product designs.
- Spearheaded collaborative projects with industry partners, government research labs, and universities, securing multi-million dollar funding for advanced research initiatives.
- Founded and led an innovative startup focused on developing electric vehicle (EV) conversion kits for traditional gas vehicles.
- Secured funding through the RBC EPIC Founders Program, demonstrating strong business potential to investors.
- Led a specialized team of researchers and engineers in the design and testing of EV conversion kits.
- Managed all aspects of business operations including product development, marketing strategy, and revenue generation.
Education
Featured Projects
Veeva Compass National & Prescriber
Advanced predictive analytics platform for U.S. pharmaceutical markets, featuring sophisticated data projection and visualization capabilities.
Xe Customer Care ML Pipeline
Real-time machine learning system for fraud detection and entity resolution, enhancing customer service efficiency.
Electric Vehicle Conversion Kit
Innovative solution for converting traditional gas vehicles to electric, featuring advanced motor control systems and optimization algorithms.
Publications & Patents
Conference Publications
Thermal Representation of Interior and Surface Mounted PMSMs for Electric Vehicle Application
P. Roy, F. Ahmed, M. Towhidi, S. Mukundan, H. Dhulipati, E. Ghosh, and N. C. Kar
Slot-pole Selection Using Adaptive Delta Gradient Descent for Concentrated Wound Consequent Pole PMSM with Reduced EMF and Inductance Harmonics
H. Dhulipati, S. Mukundan, E. Ghosh, Z. Li, B. G. Vidalanage, J. Tjong and N. C. Kar
Non-Dominated Sorting Genetic Algorithm Based Investigation of Optimal Odd Slot Numbers for Stator Shifted Fractional-Slot Wound PMSMs
S. Mukundan, H. Dhulipati, E. Ghosh, G. Feng, J. Tjong and N. C. Kar
A Survey of Different Convection Cooling Methods for Electric Vehicle Application
A. Bourgault, E. Ghosh, and N. C. Kar
Adagrad Algorithm based Optimal Slot-pole Selection for Reduced Inductance Harmonics in Concentrated Wound Multiphase PMSM
H. Dhulipati, E. Ghosh, S. Mukundan, J. Tjong and N. C. Kar
Investigation of Electromagnetic Torque Capability Reduction of Electric Machine due to Magnetic Property Deterioration of Laminations
A. Mollaeian, M. Mehdi, E. Ghosh, A. Edrisy, S. Kim, J. Tjong, and N. C. Kar
DNN predictive magnetic flux control for harmonics compensation in a magnetically unbalanced induction motor
E. Ghosh, A. Mollaeian, S. Kim and N. C. Kar
Intelligent flux predictive control through online stator inter-turn fault detection for fault-tolerant control of an induction motor
E. Ghosh, A. Mollaeian, S. Kim, J. Tjong and N. C. Kar
Journal Publications
Torque Performance Enhancement in Consequent Pole PMSM Based on Magnet Pole Shape Optimization for Direct-Drive EV
H. Dhulipati, S. Mukundan, Z. Li, E. Ghosh, J. Tjong and N. C. Kar
Advanced Design Optimization Technique for Torque Profile Improvement in Six-Phase PMSM Using Supervised Machine Learning for Direct-Drive EV
H. Dhulipati, E. Ghosh, S. Mukundan, P. Korta, J. Tjong and N. C. Kar
DNN-Based Predictive Magnetic Flux Reference for Harmonic Compensation Control in Magnetically Unbalanced Induction Motor
E. Ghosh, A. Mollaeian, S. Kim, J. Tjong and N. C. Kar
3-D Sub-Domain Analytical Model to Calculate Magnetic Flux Density in Induction Machines with Semi-closed Slots Under No-Load Condition
A. Mollaeian, E. Ghosh, H. Dhulipati, J. Tjong and N. C. Kar
A Novel Control Strategy for Online Harmonic Compensation in Parametrically Unbalanced Induction Motor
E. Ghosh, A. Mollaeian, W. Hu and N. C. Kar
Patents
Scalable Multilevel Power Converter
Eshaan Ghosh et al.
CONFIDENTIAL
Eshaan Ghosh et al.
CONFIDENTIAL
Eshaan Ghosh et al.
Let's Connect
I'm available for consulting, speaking engagements, and research collaborations. Whether you have a specific project in mind or just want to discuss potential opportunities, I'd love to hear from you.
Contact Information
Open to Opportunities
I'm interested in challenging projects and collaborative opportunities in AI, machine learning, and product development. Feel free to reach out for:
- • Technical consulting
- • Speaking engagements
- • Research collaboration
- • Product strategy