Michael Stack Email and Phone Number
Dedicated to exploring and contributing to the fields of data engineering, data science, and software engineering. With a solid foundation in technology and analytics, I use these skills to enhance business processes and outcomes that translate to dollars, time, and new opportunities. My experience encompasses managing complex data applications, where my ability to adapt and innovate has consistently driven success.I am a founder of orangutan-stem, a venture based in Northern Sumatra, Indonesia. At orangutan-stem, we are committed to developing data and software infrastructure to advance autonomous agriculture. Our work focuses on the analysis of weather, optics, soil, and irrigation data to facilitate the automation of farming tasks, improve crop yields, and advocate for sustainable agricultural practices as an alternative to palm oil farming. We utilize embedded systems and real-time APIs in our approach. The initiative not only supports agricultural innovation but also contributes to the local community by donating produce and offering wildlife trekking experiences that enhance understanding of local biodiversity.Technical SkillsProgramming Languages: Python, Scala, SQL, R, and shell scripting.Cloud Technologies: GCP (including Compute Engine, Cloud Composer, Dataflow, GCS, BigQuery, Pub/Sub, IoT core), Azure (Data Factory, Blob Storage, Azure Synapse, Azure DevOps, Embedded Power BI), and AWS (EC2, S3, Route53, IAM, EMR, MWAA, Kinesis).Database Systems: PostgreSQL, Microsoft SQL Server, and MySQL.Data Visualization: Tableau, Power BI, MapBox, Qlik, seaborn/matplotlib, bokeh, and ggplot2.Internet of Things (IoT): Knowledgeable in deploying Raspberry Pi and Arduino for various projects.Data Infrastructure Frameworks: Airflow, Spark, Flink, Beam, and Kafka.I am keen on connecting with professionals who are interested in data, software, and STEM. I value collaboration and am always open to discussing new ideas and opportunities.Connect With Mehttps://orangutan-stem.comGitHub: mikestack15/orangutan-stemInstagram: @sumatraorangutantreksYouTube: orangutan-stem
365 Retail Markets
View- Website:
- 365retailmarkets.com
- Employees:
- 162
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Manager, Data Science & Engineering365 Retail Markets Feb 2022 - PresentChicago, Illinois, United StatesFormally advana.io
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Data EngineerNature'S Fynd Jan 2021 - Feb 2022Chicago, Illinois, United StatesI designed and built the data infrastructure for a food biotech firm supported by Bill Gates. This company, established more than a decade ago, uncovered an extremophile microbe in Yellowstone National Park. This microbe proved to be remarkably efficient in generating high-protein vegan food alternatives, boasting minimal environmental repercussions in contrast to conventional animal farming. Nature's Fynd serves as a home to exceptional scientists, trailblazers, and engineers from various corners of the globe. Their united mission revolves around nourishing the global population in an ecologically responsible manner. -
Consultant - Technical Data Analyst IiProductive Edge Dec 2018 - Jan 2021Chicago, Illinois, United StatesMember of the Modern Data Practice team, focusing on high-profile clients including Humana, Sotheby's, and the New York Yankees. -
Program Product ManagerDonlen Apr 2018 - Dec 2018Bannockburn, Illinois-Responsible for leading AGILE pod to enhance a maintenance notification system product that accurately alerts drivers when they are due for a preventative maintenance service. Notification system optimizes vendor recommendations in order to maximize vendor rebates and minimize vehicle repair cost-Designed a recall management product that notifies a driver when there is an open recall on their vehicle. Composed business requirements, technical documentation, and wireframes for all required software the product will utilize -Conducted a customer pilot on a downtime management product that utilizes advanced analytics around vehicle downtime, vendor performance, and relevant KPI’s that help minimize the total hours a vehicle is unable to perform customer specific operations -Participated in presentations with sales and customer experience to provide product overview and value proposition to prospective customers -
Associate Data ScientistDonlen May 2017 - Apr 2018Bannockburn, Illinois-Produced a Fair Market Value (present value) and Vehicle Residual (future value) model utilizing National Auction data and advanced machine learning algorithms (xgboost, neural networks) to predict current or future values of Donlen portfolio vehicles-Developed database schema and production-ready solution to leverage telematics and maintenance data to accurately capture vehicle downtime-Partnered with five customers to gain insight upon how predictive analytics can be utilized to minimize their total cost of vehicle ownership
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AnalystDonlen Jul 2016 - May 2017Bannockburn, Illinois-Developed predictive models around products and services in order to deliver cost-savings opportunities for customers and the business.-Utilized machine learning algorithms (Neural Networks, Random Forests, Gradient Boosting Machines, Generalized Linear Models, k-means), within R’s H2O and caret libraries, for predicting present fair market value (FMV) and forecasting future value of vehicle assets. Machine learning algorithms also deployed for minimizing maintenance spend, downtime, and risk of vehicle failure.-Augmented and rendered validation algorithms that ensure data quality and demonstrate improved performance of dependent processes.Projects included:Vehicle Auction Consignment FMV/FV ModelTotal Maintenance Spend and Downtime ForecastOdometer Data Validation and Estimation Algorithm
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Intern (Co-Op)Donlen Sep 2015 - Jun 2016RemoteCompleted a remote co-op (20-40 hours/week) for the newly formed, Analytical Products Group, on projects involving validation algorithms, producing self-service reports, and simulation models that assess new products that are to be implemented across Donlen.
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Summer InternDonlen Corporation May 2015 - Aug 2015Northbrook, IllinoisUtilized company data to produce models for minimizing maintenance and vehicle depreciation expenditures. Models were capable of dynamically assessing and forecasting deterioration and future value of assets, adjusting for seasonality, region, asset condition, inflation, and time value of money. Implemented for utilization of Donlen client consultants and fleet managers of fortune 500 companies in efforts to minimize costs of fleet operations. Models are adaptive and responsive to macroeconomic phenomena that effect optimal asset holding times by recursively assessing inventory for high-risk units. Used time series and Markov chains as basis mathematical models. Final product presented to senior executives and president of the Hertz subsidiary.
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Honor CaddieStonebridge Country Club May 2008 - Aug 2016Guided members and guests around the country club, providing technical critique and social representation to enhance their time on the golf course.
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Information Desk AttendantIndiana University Art Museum Aug 2014 - Jan 2015Bloomington, Indiana AreaResponsible for welcoming and facilitating guests to desired locations, as well as handling the workflow of the docents leading tours. -
Summer InternViatechnik, Llc May 2014 - Jul 2014Chicago, IllinoisResponsible for transitioning project management system into a better company workflow. Designed logic/strategy to a new CRM Dashboard to generate higher business volume. Experienced company's business model, operations, and technologies utilized in the evolving engineering/construction workspace.
Frequently Asked Questions about Michael Stack
What company does Michael Stack work for?
Michael Stack works for 365 Retail Markets
What is Michael Stack's role at the current company?
Michael Stack's current role is Manager, Data Science & Engineering.
Who are Michael Stack's colleagues?
Michael Stack's colleagues are Anthony Ranella, Austin Zuchelkowski, Gautam Chhabria, Valeria Olmedo, Akhila K., Marcus Athari, Hannah Sample.
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Michael S.
Pittsburgh, Pa2gmail.com, gmail.com -
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Michael Stack
New York, Ny10gmail.com, eastern-foundry.com, yahoo.com, aol.com, gsb.columbia.edu, airseas.com, hotmail.com, marines.com, mckinsey.com, mckinsey.com3 +170340XXXXX
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Michael Stack
Greater Cleveland4ngahr.com, ncmc.com, key.com, keybank.com1 +44 144XXXXXXXX
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Michael S.
Talent Acquisition|Talent Development|Talent Mgmt| Senior Recruiter| Operation Manager| Human Capital Mgmt| Secret Clearance| Flexible, Experienced LeaderMurrieta, Ca
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