Who is Peter Karras? Overview
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Peter Karras is listed as Senior Data Scientist at Wantable, based in Gainesville, Florida, United States. AeroLeads shows a matched LinkedIn profile for Peter Karras.
Peter Karras previously worked as Data Scientist at Wantable and Data Scientist at John Deere. Peter Karras holds Master'S Degree, Master Of Science In Information Systems And Operations Management (Data Science Track) from University Of Florida.
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Wantable
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Profile bio
About Peter Karras
Hello I'm Peter! A passionate Data Scientist with a unique blend of technical expertise, strong business acumen, and effective communication skills.I hold a Bachelor's degree in Computer Science from Florida State University with a minor in mathematics and a Master's degree in Information Systems and Operations Management (Data Science track) at the University of Florida. My academic pursuits have honed my technical abilities, enabling me to leverage tools such as Python, SQL, C++, JAVA, and Business Intelligence tools like Excel, Power BI, SharePoint, Tableau, and Alteryx to drive data-driven insights.Professionally, I've been privileged to apply my skills in diverse environments. At John Deere, I provide technical support for factories remotely, spearheading the automation and streamlining of tasks to boost efficiency. The projects I've worked on at John Deere have exposed me to a plethora of data science problems to solve, from small ad hoc efficiency boosters to cross factory monoliths. In my role as a Data Science Intern at Redhorse, I was able to focus down on a sole task and coordinate the implementation and management of a graph database based on a slew of web scraped climate change data.My research work at Florida State University's Department of Computer Science allowed me to introduce and explain the utility of different deep learning tools to my team, gaining me priceless experience in communicating complex concepts effectively. I also drove the identification and implementation of optimal blockers, tokenizers, and word embedding modules for natural language processing in this role. My further research work with the University's Department of Geography allowed me deeply explore image processing tasks, exposing me to convolutional neural networks and complex mathematics.Beyond the professional sphere, I am a Member of the Association for Information Systems, and I have actively coached the University Quidditch Team for both FSU and UF. I was a enthusiastic participant in the University of Florida Weightlifting Club, and continue to strive to drive up my totals day by day. Outside of work and weightlifting, you can often find me immersed in either planning or playing games of Dungeons and Dragons, a hobby that stokes my imagination and fuels my love for problem-solving. I even had the opportunity to share this hobby with my coworkers at John Deere during many team building exercises!I'm always eager to connect with like-minded professionals and explore new opportunities in the data science realm. Feel free to reach out!
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8 roles
Peter Karras work experience
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Data Scientist
Data Scientist
Enhance business efficiency and productivity using data-driven analytics, working closely with coworkers in an Agile methodology to plan and execute solutions, diagnose issues, and maintain projects throughout their lifespan.Engineered a GUI interface through Python for MLOps, combining the NumPy, pandas, SciKit-Learn, Matplotlib OpenCV, and tkinter libraries to facilitate the feature selection and transformation of images for future machine learning. Pioneered a novel API-based process in Python to collect, cleanse, and structure project tracking data and push it to. Databricks, saving a production team 40+ hours per week. Built a live Power BI dashboard providing at-a-glance warranty metrics across multiple departments and factories, guiding leadership decisions regarding over $10,000,000 of product. Led a global learning initiative on Deere’s social platform, engaging over 200 employees weekly and fostering interactive. discussions through concise written materials and how-to videos. Harnessed the AutoCAD API to automate data extraction from drawings, eliminating a weekly 20-hour process
Aug 2021 - May 2023
Data Science Intern
Collaborated with a team of 12 interns through an Agile methodology to evaluate the feasibility of new technologies and techniques via a pilot project to fast-track policymaker education on climate change topics.Developed a modular data scraping, ingestion, and cleansing pipeline in Python to prepare diversely structured data for database importation. Implemented and managed a Neo4j graph database representing millions of complex relationships between policy, education, and scientific materials. Guided project planning with a comprehensive access and retrieval guide for over 20 government sources of video and text data. Presented complex data findings to company executives and technical experts, confirming the applicability of graph databases and advanced data retrieval techniques to future projects
Jun 2021 - Aug 2021
Undergraduate Research Assistant, Department Of Computer Science
Leveraged entity-matching to create a database where experts could easily find COVID-19 related papers clustered by topic, allowing for efficient and targeted education on specific factors of the pandemic.Drove the team’s adoption of deep learning using DeepMatcher. Enhanced text analysis matching by 27% using optimal blockers, tokenizers, word embedding modules, and neural nets for natural language processing. Proactively deployed advanced data processing systems to university servers, facilitating seamless remote collaboration and testing for a research team of 10 members during COVID.
Jan 2021 - May 2021
Undergraduate Research Assistant, Department Of Geography
Conducted an in-depth literature review to better understand every facet of the issue being studied Performed data integration and data cleaning of 43,000 rows of ecological data. Worked to develop a machine learning algorithm, specifically a convolutional neural network, from scratch to measure the gross primary productivity of a tropical forest based on the patterns found in thermal images. Utilized R, Python, Jupyter Notebooks, and the PyTorch machine learning library to process large data sets in order to refine and better understand our convolutional neural network
Oct 2019 - May 2021
Tutor
Student Athlete Academic Services Fsu
Tutored student athletes through courses in mathematics, computer science (C++), computer ethics, and computer fluency through Microsoft Word, PowerPoint, and Excel. Created learning strategies catered to individual students to help maximize their academic performance.
Aug 2020 - Feb 2021
Sales Associate
Helped maintain and organize items for sale in order to create the best customer experience. Interacted with every customer during checkout about store offers and opportunities. Coordinated with management to help cover vacant shifts.
Apr 2016 - Apr 2018
2 education records
Peter Karras education
Master'S Degree, Master Of Science In Information Systems And Operations Management (Data Science Track)
Computer Science Bs, Computer Science
FAQ
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What company does Peter Karras work for?
Peter Karras works for Wantable.
What is Peter Karras's role at Wantable?
Peter Karras is listed as Senior Data Scientist at Wantable.
Where is Peter Karras based?
Peter Karras is based in Gainesville, Florida, United States while working with Wantable.
What companies has Peter Karras worked for?
Peter Karras has worked for Wantable, John Deere, Redhorse Corporation, Florida State University, and Student Athlete Academic Services Fsu.
How can I contact Peter Karras?
You can use AeroLeads to view verified contact signals for Peter Karras at Wantable, including work email, phone, and LinkedIn data when available.
What schools did Peter Karras attend?
Peter Karras holds Master'S Degree, Master Of Science In Information Systems And Operations Management (Data Science Track) from University Of Florida.
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