Focused on asset performance, uptime improvement, PM/PdM optimization, maintenance workflows, and practical reliability strategy in industrial environments.
Profile
About me
This version elevates the portfolio into a more cinematic, premium, and product-grade engineering experience while preserving your story and achievements.
Name
Yaman Pandey
Graduate Education
Masters in Manufacturing Engineering Technology
Expected Graduation: December 2026
Expected Graduation: December 2026
Undergraduate Degree
Bachelors in Mechanical Engineering
Graduated: May 2023
Graduated: May 2023
Contact
yamanpandey2056@gmail.com
507-304-5525
507-304-5525
My name is Yaman Pandey. I am a Mechanical Engineer working toward my masters degree in Manufacturing Engineering Technology. I am also a certified EIT and certified Lean Six Sigma Green Belt. My interests span reliability engineering, manufacturing improvement, process optimization, HVAC energy systems, videography, hiking, and creative writing. I enjoy building solutions that blend technical precision with practical impact.
Engineer-in-Training
Lean Six Sigma
HVAC Optimization
Reliability Strategy
Process Improvement
Core Strengths
What I bring
This section now feels more intentional and premium: less like random numbers, and more like a sharp summary of your engineering strengths, research direction, and professional value.
Uses monitored equipment data, vibration-based diagnostics, and engineering judgment to identify issues earlier and reduce unplanned downtime.
Explores how thermostat control, weather forecasting, and thermal modeling can improve comfort while lowering residential heating energy use.
Presents engineering work through research summaries, project presentations, polished visuals, and leadership experience across academic and professional settings.
Credentials
Certifications
In Progress
Lean Six Sigma Green Belt (In Progress)
Currently pursuing Lean Six Sigma Green Belt training with a focus on continuous improvement, process stability, root cause analysis, waste elimination, and data-driven problem solving for manufacturing systems.
DMAIC
Process Improvement
Waste Reduction
Professional Credential
Engineer-in-Training (EIT)
Certified Engineer-in-Training from the Minnesota Board of AELSLAGID, demonstrating engineering fundamentals and readiness for advanced professional practice.
Engineering Fundamentals
Professional Track
Problem Solving
Build
Academic projects
A curated project library combining design, simulation, analysis, manufacturing, programming, and systems thinking.
Hockey Stadium Construction Project
Developed a complete project management package covering initiation, planning, execution, and control for a graduate-level construction project.
Combat Robot
Designed, built, and programmed a combat robot for the National Robotic Challenge, earning a Bronze award through a combination of design, controls, and fabrication.
Arduino
CAD
FEA
Bicycle Frame Project
Designed a bicycle frame in CREO and performed FEA analysis to optimize structural performance while minimizing mass.
Angry Bird Simulation
Developed a MATLAB simulation for projectile motion incorporating air drag and magnetic effects, deepening understanding of numerical modeling and system behavior.
Engine Assembly Project
Assembled engine components in CREO and prepared a structured Bill of Materials, strengthening assembly planning and digital product definition skills.
Robot Guitar
Constructed a single-string wooden guitar capable of playing an octave, integrating mechanical design with MATLAB-based control logic.
Envelope Feeding and Stamping
Designed a 1-DOF mechanism in SAM to feed and stamp envelopes efficiently using a crank-driven motion system.
Carbon Fiber in Aviation Industry
Investigated the properties, performance advantages, and future potential of carbon fiber composites in aviation applications.
Investigation
Academic research
A cleaner research hub with stronger storytelling, smoother transitions, and clearer separation between studies, findings, and presentation-ready material.
Lean Manufacturing
Application of Lean Manufacturing in the Food Powder Products Sector
Researched the application of lean manufacturing in the food powder products sector for a graduate-level lean manufacturing course.
- Determined how lean practices are currently used in powder food plants.
- Investigated opportunities for improvement using lean principles.
- Documented findings, recommendations, and implementation insights in a research paper.
Building Energy Research
Integrating Smart Thermostat and Weather Forecasting Data for Real-Time HVAC Efficiency Optimization in Residential Buildings
Built around a predictive control concept that combines thermostat behavior with short-term weather forecasting to lower energy cost while maintaining comfort.
- Used two weeks of October data from a 2250 sq. ft. single-family home in Southern Minnesota.
- Modeled the gas furnace as a simple RC thermal system.
- Demonstrated lower monthly heating energy relative to static thermostat control.
New Research Added
Vibration-Based Fault Diagnosis in Industrial Rotating Machinery
Abstract
Unplanned downtime caused by rotating machines results in a significant percentage of the total downtime in manufacturing plants and leads to major production losses. Preventative maintenance helps reduce some of this risk, but it cannot predict upcoming downtime before it occurs. This creates the need for predictive maintenance. In this study, data-driven and expert-validated diagnosis using vibration analysis for rotary machinery is applied. The data is collected from a manufacturing site in Minnesota where 32 rotating assets, including motors and fans, are monitored with sensors. Reliability engineers review the data and make predictions for required maintenance work.
Targets unplanned downtime in manufacturing
Focuses on one of the biggest causes of lost production time in industrial plants.
Focuses on one of the biggest causes of lost production time in industrial plants.
Builds on predictive maintenance principles
Moves beyond routine preventative maintenance by using data to identify problems before failure occurs.
Moves beyond routine preventative maintenance by using data to identify problems before failure occurs.
Uses vibration analysis for diagnosis
Applies a practical condition-monitoring technique for rotary machinery fault detection.
Applies a practical condition-monitoring technique for rotary machinery fault detection.
Combines data-driven and expert-validated insight
Pairs sensor-based analysis with engineering review to improve maintenance decisions.
Pairs sensor-based analysis with engineering review to improve maintenance decisions.
Monitors 32 rotating assets
Includes motors and fans from a manufacturing site in Minnesota instrumented with sensors.
Includes motors and fans from a manufacturing site in Minnesota instrumented with sensors.
Supports maintenance planning
Reliability engineers use the monitored data to predict and plan needed maintenance work.
Reliability engineers use the monitored data to predict and plan needed maintenance work.
HVAC Optimization Research
Integrating Smart Thermostat and Weather Forecasting Data for Real-Time HVAC Efficiency Optimization in Residential Buildings
Abstract
This paper presents a predictive HVAC control framework integrating smart thermostat data and short-term weather forecasts. The study uses two weeks of October data from a 2250 sq. ft. single-family house with a gas furnace in Southern Minnesota. The furnace is modeled as a simple RC thermal system, and the weather-based control program selects heating settings that lower energy cost while maintaining comfort. For this experiment, the thermostat is manually adjusted with respect to outdoor temperature. The proposed strategy reduces monthly heating energy relative to static thermostat control and demonstrates a practical path to low-cost HVAC optimization in residential buildings.
Developed a predictive HVAC control framework
Integrated smart thermostat data with short-term weather forecasting to support dynamic heating decisions.
Integrated smart thermostat data with short-term weather forecasting to support dynamic heating decisions.
Used real residential data
Analyzed two weeks of October operating data from a 2250 sq. ft. single-family home in Southern Minnesota with a gas furnace.
Analyzed two weeks of October operating data from a 2250 sq. ft. single-family home in Southern Minnesota with a gas furnace.
Modeled the furnace as an RC thermal system
Represented home heating behavior using the thermal analog of a resistor-capacitor network for simplified control analysis.
Represented home heating behavior using the thermal analog of a resistor-capacitor network for simplified control analysis.
Applied weather-based heating control
Selected thermostat settings based on outdoor conditions to balance indoor comfort and energy efficiency.
Selected thermostat settings based on outdoor conditions to balance indoor comfort and energy efficiency.
Demonstrated reduced heating energy use
Showed that the proposed strategy can reduce monthly heating energy compared with static thermostat control.
Showed that the proposed strategy can reduce monthly heating energy compared with static thermostat control.
Established a low-cost optimization pathway
Highlighted a practical, residential-scale method for real-time HVAC efficiency improvement without expensive infrastructure.
Highlighted a practical, residential-scale method for real-time HVAC efficiency improvement without expensive infrastructure.
Visual Work
Presentations & research visuals
Poster-ready work, presentation assets, and clean visual storytelling for research and projects.
Investigation of Pulsed Eddy Current for Multi-Target Non-Destructive Testing
Moved under a presentation-focused area. This research combines COMSOL simulation, LabVIEW testing, fabrication, and NDT experimentation.
Poster Research
NDT
Pulsed Eddy Current
Hockey Stadium Construction Presentation
Graduate project presentation focused on project delivery, planning, execution, and control.
Envelope Feeding and Stamping Presentation
Mechanism design presentation showing motion design, automation thinking, and system visualization.
Combat Robot
A competition-ready engineering story combining design, programming, controls, and fabrication.
Carbon Fiber in Aviation
Research communication around advanced materials, future applications, and engineering value.
Bicycle Frame Design
A visually strong project for CAD, structural thinking, and lightweight design optimization.
Manufacturing & Reliability
Visual framing of plant reliability, asset strategy, and production-facing engineering work.
Production Systems
A visual story around manufacturing execution, teamwork, and practical engineering delivery.
Mechanical Assembly
Strong visual support for component thinking, digital assembly, and mechanical communication.
Investigation
Academic research
Lean Manufacturing
Application of Lean Manufacturing in the Food Powder Products Sector
Researched the application of lean manufacturing in the food powder products sector for a graduate-level lean manufacturing course.
- Determined how lean practices are currently used in powder food plants.
- Investigated opportunities for improvement using lean principles.
- Documented findings, recommendations, and implementation insights in a research paper.
Building Energy Research
Integrating Smart Thermostat and Weather Forecasting Data for Real-Time HVAC Efficiency Optimization in Residential Buildings
Built around a predictive control concept that combines thermostat behavior with short-term weather forecasting to lower energy cost while maintaining comfort.
- Used two weeks of October data from a 2250 sq. ft. single-family home in Southern Minnesota.
- Modeled the gas furnace as a simple RC thermal system.
- Demonstrated lower monthly heating energy relative to static thermostat control.
New Research Added
Vibration-Based Fault Diagnosis in Industrial Rotating Machinery
Abstract
Unplanned downtime caused by rotating machines results in a significant percentage of the total downtime in manufacturing plants and leads to major production losses. Preventative maintenance helps reduce some of this risk, but it cannot predict upcoming downtime before it occurs. This creates the need for predictive maintenance. In this study, data-driven and expert-validated diagnosis using vibration analysis for rotary machinery is applied. The data is collected from a manufacturing site in Minnesota where 32 rotating assets, including motors and fans, are monitored with sensors. Reliability engineers review the data and make predictions for required maintenance work.
Targets unplanned downtime in manufacturing
Focuses on one of the biggest causes of lost production time in industrial plants.
Focuses on one of the biggest causes of lost production time in industrial plants.
Builds on predictive maintenance principles
Moves beyond routine preventative maintenance by using data to identify problems before failure occurs.
Moves beyond routine preventative maintenance by using data to identify problems before failure occurs.
Uses vibration analysis for diagnosis
Applies a practical condition-monitoring technique for rotary machinery fault detection.
Applies a practical condition-monitoring technique for rotary machinery fault detection.
Combines data-driven and expert-validated insight
Pairs sensor-based analysis with engineering review to improve maintenance decisions.
Pairs sensor-based analysis with engineering review to improve maintenance decisions.
Monitors 32 rotating assets
Includes motors and fans from a manufacturing site in Minnesota instrumented with sensors.
Includes motors and fans from a manufacturing site in Minnesota instrumented with sensors.
Supports maintenance planning
Reliability engineers use the monitored data to predict and plan needed maintenance work.
Reliability engineers use the monitored data to predict and plan needed maintenance work.
HVAC Optimization Research
Integrating Smart Thermostat and Weather Forecasting Data for Real-Time HVAC Efficiency Optimization in Residential Buildings
Abstract
This paper presents a predictive HVAC control framework integrating smart thermostat data and short-term weather forecasts. The study uses two weeks of October data from a 2250 sq. ft. single-family house with a gas furnace in Southern Minnesota. The furnace is modeled as a simple RC thermal system, and the weather-based control program selects heating settings that lower energy cost while maintaining comfort. For this experiment, the thermostat is manually adjusted with respect to outdoor temperature. The proposed strategy reduces monthly heating energy relative to static thermostat control and demonstrates a practical path to low-cost HVAC optimization in residential buildings.
Developed a predictive HVAC control framework
Integrated smart thermostat data with short-term weather forecasting to support dynamic heating decisions.
Integrated smart thermostat data with short-term weather forecasting to support dynamic heating decisions.
Used real residential data
Analyzed two weeks of October operating data from a 2250 sq. ft. single-family home in Southern Minnesota with a gas furnace.
Analyzed two weeks of October operating data from a 2250 sq. ft. single-family home in Southern Minnesota with a gas furnace.
Modeled the furnace as an RC thermal system
Represented home heating behavior using the thermal analog of a resistor-capacitor network for simplified control analysis.
Represented home heating behavior using the thermal analog of a resistor-capacitor network for simplified control analysis.
Applied weather-based heating control
Selected thermostat settings based on outdoor conditions to balance indoor comfort and energy efficiency.
Selected thermostat settings based on outdoor conditions to balance indoor comfort and energy efficiency.
Demonstrated reduced heating energy use
Showed that the proposed strategy can reduce monthly heating energy compared with static thermostat control.
Showed that the proposed strategy can reduce monthly heating energy compared with static thermostat control.
Established a low-cost optimization pathway
Highlighted a practical, residential-scale method for real-time HVAC efficiency improvement without expensive infrastructure.
Highlighted a practical, residential-scale method for real-time HVAC efficiency improvement without expensive infrastructure.
Career
Work experience
2023–Current
Reliability Engineer, dsm-firmenich (New Ulm, MN)
- Develop and execute plant reliability strategy to improve equipment availability and reliability through continuous improvement, root cause analysis, and reliability centered maintenance.
- Interface with maintenance supervision to validate equipment performance, standardize training requirements, and implement proactive maintenance practices.
- Define PM and PdM procedures, optimize task frequency, and support procedure integration into CMMS workflows.
- Design and assemble parts in CREO and SolidWorks and perform FEA to upgrade various machines.
- Provide KPI and asset utilization insights, support small capital projects, and strengthen process efficiency and operational safety.
Summer 2022
Manufacturing Engineering Intern, BRP (Alumacraft) (St. Peter, MN)
- Applied lean manufacturing principles and DMAIC methodology to identify root causes and implement durable process solutions.
- Assisted with assembly process improvement projects focused on cost, throughput, and quality.
- Designed and assembled parts in CREO and SolidWorks and performed FEA to improve machine designs.
- Worked closely with engineers, technicians, and labor teams to support production targets of 17 boats per day.
- Collaborated with quality engineers to ensure safety, quality standards, and customer requirements were met.
2019–2022
Student Tech, IT Solutions Center, MNSU
- Installed and integrated cameras, microphones, speakers, and Zoom PCs across campus classrooms using IP-based system architecture.
- Troubleshot projectors, smartboards, doc cams, and classroom technology systems.
- Managed Cherwell tickets through creation, escalation, communication, and resolution processes.
Influence
Leadership
May 2022 – Dec 2022
ASHRAE, Mankato Chapter
Treasurer
Served as treasurer for the Mankato Chapter of ASHRAE and supported budgeting, reporting, fundraising, event planning, guest speaker coordination, conference attendance, and chapter workshop execution.
May 2019 – May 2021
Nepali Student Community (NeStCom)
President
Led a community of 150+ members, chaired weekly meetings, coordinated budgets, organized events, and helped manage planning, logistics, and member engagement activities.
Writing
Poems
Click a title to open the poem in a focused reading view.
For Her
Open poem
Alone While Together
Open poem
End?
Open poem
Missing
Open poem
Me
Open poem
जोखिम को जिन्दगी
Open poem
ओठको याद
Open poem
Reach out
Contact
Let’s connect
For engineering opportunities, reliability work, research collaborations, manufacturing projects, or creative conversations, feel free to connect through email, phone, or social platforms.
Email
yamanpandey2056@gmail.com
yamanpandey2056@gmail.com
Phone
507-304-5525
507-304-5525
Résumé
Available in portfolio assets
Available in portfolio assets
Quick message interface
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