Dan Pfeiffer Email & Phone Number
@redaptiveinc.com
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Who is Dan Pfeiffer? Overview
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Dan Pfeiffer is listed as AI Engineer at Gigawatt, based in Chicago, Illinois, United States. AeroLeads shows a work email signal at redaptiveinc.com and a matched LinkedIn profile for Dan Pfeiffer.
Dan Pfeiffer previously worked as Data Science Technical Lead at Redaptive, Inc and Data Science Technical Lead at Redaptive, Inc. Dan Pfeiffer holds Master Of Science - Ms, Computer Software Engineering, 3.944 from Depaul University.
Email format at Gigawatt
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About Dan Pfeiffer
As a Data Scientist at Redaptive, Inc., my focus is on using machine learning and data analytics to drive impactful changes in sustainability and cost-effectiveness for businesses. Armed with an MS in Software Engineering and over 12 years of expertise in the energy efficiency tech sector, I specialize in crafting innovative solutions by synthesizing diverse datasets, including those related to building structures, weather patterns, utilities, and economic factors.Among my recent projects, I spearheaded the development of a machine learning model dedicated to estimating the costs and savings associated with lighting projects. This involved a sophisticated analysis of site metadata and past projects. Additionally, I engineered a data enrichment tool designed to scrutinize site metadata and utility bills for comprehensive insights. Another notable achievement was the deployment of a solar project model capable of accurately projecting the outcomes of tens of thousands of potential solar projects concurrently.
Listed skills include Hvac Controls, Building Automation, Hvac, Engineering, and 49 others.
Dan Pfeiffer's current company
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Dan Pfeiffer work experience
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Data Science Technical Lead
Data Science Technical Lead
Data Scientist
-Created a machine learning model that estimated cost and savings of lighting projects based on site metadata and past projects in our databases. The tool adjusted cost and savings by location, building type, consumer price index at the time, local utility rates, and more. Automated a scheduled AWS Sagemaker pipeline that retrained and deployed the latest version of the model as more projects were entered into our systems. The tool removed approximately 3 days of time needed for project estimation over our previous excel-based method, with the added benefit of version control.-Created a data enrichment tool that analyzed site metadata and utility bills, storing the site metadata in S3 for various machine learning use cases. The tool disaggregates energy usage into base, ventilation, heating, and cooling usage, approximates the HVAC equipment capacity onsite, and stores temperature bin data over the analyzed time period. The pre-processed dataset is foundational for several machine learning use cases within our company, including automated opportunity identification, energy benchmarking, and project prioritization.-Created an application that estimates thousands of potential solar projects in seconds from address, square footage, and building type. The tool checks eligibility of federal tax credits and local utility incentives using geospatial data. It sizes the solar array, estimates cost/savings generated by the system, and optimizes a PPA rate that balances customer payments over the contract term. The tool generated over $3B in cashflow positive leads for our sales team to pursue.-Designed and contributed to a shared team python library. This repository can be imported quickly by any team member on any machine or hosted application. It provides clients to frequently used databases and wrappers for common APIs that collect meter data, weather, and open source economic data.
Technical Solutions Engineer
-Created and deployed an HVAC energy estimation model that accurately models tens of thousands of potential RTU/CDUs replacement projects at once. Using only an address and equipment list, the tool uses a novel temperature binning approach to accurately estimate units varying greatly in schedule, control sequence, and configuration. This python tool was hosted as an AWS Lambda, speeding up the engineering team's modeling process from weeks to hours.-Created an unsupervised machine learning algorithm that detects different operating modes of Rooftop Units (RTUs) using only the minute-level energy data. This tool enabled the automated estimation of fan size, equipment size (tonnage), and occupancy schedule without an audit.-Designed and implemented scalable billing software that generates bills for customers with large portfolios of energy saving projects. The tool creates individual regression models of energy usage vs. temperature for sites before and after a project intervention. The difference between the regression models given the temperature for that billing period provides an estimate of energy savings due to the project.
Systems Engineer
SYSTEMS ENGINEER • JOHNSON CONTROLS • MAY 2017•PRESENT• Develop and validate embedded software for Building Automation Systems• Program custom building load optimized central heating and cooling plants• Design and implement real-time system control algorithms and strategies to reduce energy footprint• Manage network of PLCs in high rises, government facilities, and other large complexes• Create and control site-wide databases• Collect and refine project requirements with stakeholders• Implement front-end user interface including graphics• Upgrade outdated pneumatic and electronic automation systems to latest hardware and software• Minimize downtime during upgrades on live systems in occupied spaces• Execute projects with poorly defined scope and minimal documentation• Act as local technical support and subject matter expert on hardware and software product linesKEY PROJECTS AS TECHNICAL LEADWillis Tower • Wolf Point West Tower • Chicago Athletic Association • NBC Tower • 200 S Wacker • 1 S. Wacker • 55 W Monroe • 1001 S State • Virgin Hotel • Harold Washington Social Security Center
Lead Systems Specialist
• Managed a $3+ million portfolio spread over ~70 building automation projects in Chicago• Handled scheduling, financing, and subcontracting for all projects• Commissioned start-up of real time systems including Chiller Plants, Boiler Plants, Heat Exchangers, Cooling Towers, Air Handlers, and other HVAC equipment• Delivered client requirements while maintaining profitability
Systems Technician Ii
• Commissioned building automation systems in Willis Tower, 111 S. Wacker, 155 N. Wacker, 353 N. Clark, and other high rise buildings• Developed software to satisfy sequences of operation for HVAC equipment• Performed point to point and system commissioning for units in the field
Roadcrew Operator
• Surveyed roads throughout the state of Nevada, compiling video and LIDAR records• Operated data collection systems, ensuring valid and accurate information was being collected• Checked data for quality control, organized and shipped data to project team for compilation
Captioning Assistant
- Created subtitles for telephones using automated voice prompter- Maintained detailed logs of calls taken and technical issues- Passed weekly performance tests measuring speed and accuracy
Dan Pfeiffer education
Master Of Science - Ms, Computer Software Engineering, 3.944
Bachelor Of Science - Bs, Mechanical Engineering
Frequently asked questions about Dan Pfeiffer
Quick answers generated from the profile data available on this page.
What company does Dan Pfeiffer work for?
Dan Pfeiffer works for Gigawatt.
What is Dan Pfeiffer's role at Gigawatt?
Dan Pfeiffer is listed as AI Engineer at Gigawatt.
What is Dan Pfeiffer's email address?
AeroLeads has found 1 work email signal at @redaptiveinc.com for Dan Pfeiffer at Gigawatt.
Where is Dan Pfeiffer based?
Dan Pfeiffer is based in Chicago, Illinois, United States while working with Gigawatt.
What companies has Dan Pfeiffer worked for?
Dan Pfeiffer has worked for Gigawatt, Redaptive, Inc, Johnson Controls, Mandli Communications, and Captel Inc..
How can I contact Dan Pfeiffer?
You can use AeroLeads to view verified contact signals for Dan Pfeiffer at Gigawatt, including work email, phone, and LinkedIn data when available.
What schools did Dan Pfeiffer attend?
Dan Pfeiffer holds Master Of Science - Ms, Computer Software Engineering, 3.944 from Depaul University.
What skills is Dan Pfeiffer known for?
Dan Pfeiffer is listed with skills including Hvac Controls, Building Automation, Hvac, Engineering, Autocad, Construction, Contract Management, and Process Improvement.
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