Davin Miller Email & Phone Number
Who is Davin Miller? Overview
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Davin Miller is listed as Data Engineer at John Deere, a company with 50659 employees, based in Des Moines Metropolitan Area, United States, United States. AeroLeads shows a matched LinkedIn profile for Davin Miller.
Davin Miller previously worked as Data Scientist at John Deere and Part Time Student at John Deere. Davin Miller holds Master'S Degree, Data Science from Indiana University Bloomington.
Email format at John Deere
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About Davin Miller
Hi! I am a Data Scientist at Deere and part of their rotational program. My current rotation is on the A&A robotics team, developing computer vision models for Deere's object detection systems. I just finished my Master's degree in Data Science at Indiana University and graduated from Purdue University in 2022 with a degree in Data Science, Economics, and Statistics.My past research experiences with data have shown me how powerful data analytics can be. Our society relies heavily on understanding how to process and use big data. From helping solve the coronavirus pandemic to simply buying groceries, the structure of these processes is built on data. From this realization, I have found my passion in exploring and analyzing the world as a data scientist. I believe I can make important contributions to humanity as I progress through my career, and I look forward to working with companies that can help me accomplish this goal.
Listed skills include Python, Microsoft Powerpoint, Microsoft Office, Java, and 11 others.
Davin Miller's current company
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Davin Miller work experience
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Data Scientist
CurrentJuly 2023 - July 2024: CVML Data EngineerJuly 2024 - Present: Risk Analytics Data Scientist
Part Time Student
I applied model monitoring techniques to current models in deployment. I leveraged tools such as Tableau and Databricks to generate automatic quality checks.
Data Science Intern
I collaborated with engineers, business stakeholders, UX designers, and clients to develop supervised classification models with the goal of grouping Deere's machine notifications via text analysis. This project assists in Deere's client webpage (OpsCenter), where clients can view machine status and notifications I used many natural language processing.
Data Research Intern
Laboratory for Computational - Anthropology and Anthroinformatics(LCA)I analyzed ancient archeological sites in Peru, South America via machine learning and predictive modeling. Through this analysis, I developed methods to forecast future archeological sites in the region. This is particularly helpful now since COVID-19 restrictions have prohibited.
Data Science Intern
I explored and analyzed raw TV Media data for Abbott Ensure products. Through practices of data manipulation and formatting, I was able to develop a proof of concept that we can directly measure tv commercial impact on sales. I developed baseline models via time series modeling and quartiles with the goal of distinguishing promotional sales from tv media.
Techpoint S.O.S. Challenge Participant
Was a software developer on a 5 week project focusing on solving problems in the sports and entertainment industries relating to the Covid-19 Pandemic.Our project was called "Hoosier Up!" and involved the creation of a virtual camp that would better connect fans and kids to their favorite athletes. We developed both a website and a prototype of a mobile.
Independent Study
Worked with Drs. Arthur Bradley and Donald Miller for eight weeks to analyze real-world cell data that was attained in their imaging lab. With the goal of better understanding colorblindness, I was tasked with finding unique characteristics in these retinal cells (i.e. short, medium, and long cells). I performed algorithmic analysis and found subtle.
Colleagues at John Deere
Other employees you can reach at johndeere.com. View company contacts for 50659 employees →
Tassiana M. Sturm Lermen
Colleague at John Deere
Indaiatuba, São Paulo, Brazil, Brazil
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JC
Julia Correa
Colleague at John Deere
Indaiatuba, São Paulo, Brazil, Brazil
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AW
Angela Wunder
Colleague at John Deere
Springfield, Missouri, United States, United States
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CB
Chiara Baron-Wachenfeld
Colleague at John Deere
Mannheim, Baden-Württemberg, Germany, Germany
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MS
Mahendra Sugandhi
Colleague at John Deere
Pune, Maharashtra, India, India
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CM
Christopher Murphy
Colleague at John Deere
United States, United States
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DM
Debi Mccarthy-Golz
Colleague at John Deere
Rock Island County, Illinois, United States, United States
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GP
Greg Patrick
Colleague at John Deere
Escondido, California, United States, United States
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SS
Scott Schennum
Colleague at John Deere
Princeton, Illinois, United States, United States
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TÇ
Tuncay Çavuşoğlu
Colleague at John Deere
Türkiye, Turkey
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Davin Miller education
Master'S Degree, Data Science
Data Science, Computer Science
High School Diploma
Frequently asked questions about Davin Miller
Quick answers generated from the profile data available on this page.
What company does Davin Miller work for?
Davin Miller works for John Deere.
What is Davin Miller's role at John Deere?
Davin Miller is listed as Data Engineer at John Deere.
Where is Davin Miller based?
Davin Miller is based in Des Moines Metropolitan Area, United States, United States while working with John Deere.
What companies has Davin Miller worked for?
Davin Miller has worked for John Deere, Purdue University, Abbott, Techpoint, and Indiana University Bloomington.
Who are Davin Miller's colleagues at John Deere?
Davin Miller's colleagues at John Deere include Tassiana M. Sturm Lermen, Julia Correa, Angela Wunder, Chiara Baron-Wachenfeld, and Mahendra Sugandhi.
How can I contact Davin Miller?
You can use AeroLeads to view verified contact signals for Davin Miller at John Deere, including work email, phone, and LinkedIn data when available.
What schools did Davin Miller attend?
Davin Miller holds Master'S Degree, Data Science from Indiana University Bloomington.
What skills is Davin Miller known for?
Davin Miller is listed with skills including Python, Microsoft Powerpoint, Microsoft Office, Java, Data Analysis, R, Video Editing, and Datasets.
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