Data Scientist
CurrentField Trial Analysis and other Crop Science solutions with Visualization Design and Engineering, Visual Analytics, Data Visualization, Explainable Artificial Intelligence and.so.on :)
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@usp.br
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Henry Heberle is listed as Data Science & Visualization at Bayer, a with 98602 employees, based in Cologne, North Rhine-Westphalia, Germany. AeroLeads shows a work email signal at usp.br and a matched LinkedIn profile for Henry Heberle.
Henry Heberle previously worked as Data Scientist at Bayer and Data Scientist at Bayer Crop Science. Henry Heberle holds Doctor Of Science, Computer Science And Computational Mathematics from Universidade De São Paulo.
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I’m a Computer Scientist, PhD, with experience (11+ yrs) in extracting insightful information from data ranging from varied fields, from social networks to biological networks, proteins as cancer biomarkers and cheminformatics, to field trials in crop science.My focus is specifically on the visualization side and human interaction nature of including the end-user in the analytics pipelines to actually take the data driven decisions.I have worked in cross-functional and interdisciplinary teams, managing, designing and developing solutions with Machine Learning, Data Visualization, and Statistical techniques.I am very motivated to continue to leverage those approaches and learn new techniques, applying them to solve industry problems and deliver innovative products.♦ Data Scientist with 11+ year record of applying machine learning, feature selection, statistics and visualization to solve complex problems, effectively using resources to find the best set of features to use in follow-up experiments, resulting in cost reduction and increased accuracy.♦ Dedicated problem solver with creative ideas to design and build clean and effective analytical pipelines and tools, leading to insightful reports and automation that boosted productivity and stakeholders' satisfaction through better user experience (UX).♦ Fast learner and attentive communicator with ability to gather and interpret complex information making it accessible to audiences of various backgrounds as evidenced by successfully working in cross-function and interdisciplinary teams, and training colleagues, resulting in aligned and effective teamwork.Contact: heberleh.mail@gmail.com🌅 My "Cover Photo” is a piece of one of my oil paintings. I am also learning watercolor, gouache, and color theory; it helps us to stop and see details from our world and nature, exercising mindfulness and consciousness.
Listed skills include Computational Biology, Jsp, Neural Networks, R, and 63 others.
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North Rhine-Westphalia, Germany
Field Trial Analysis and other Crop Science solutions with Visualization Design and Engineering, Visual Analytics, Data Visualization, Explainable Artificial Intelligence and.so.on :)
North Rhine-Westphalia, Germany
Visualization Design and Engineering for Explainable Artificial Intelligence (XAI) in Crop Science and Pharmaceutical.
Brazil
Proposed, designed and built a solution to automatically correct and support dictation sessions, resulting in improved UX and saving the student's time; consequently bringing more value to the courses in which dictations are an essential part of the learning circle.The system is clean, fast and effectively corrects the students' transcriptions, pointing out their mistakes and highlighting the correct form of words. It was built with JavaScript and React in the form of a plug-in which was integrated with the German courses offered by smarterGerman on Teachable.As part of my portfolio of software products, I offered the installation of the system in their course free of charge, since I'm a student of German myself and now benefit from it from within the German course - no more manual and time-consuming corrections! No contract was put in place; therefore, I did it as a volunteer.
Brazil
After completing my PhD in Computer Science, which focused on data mining, machine learning, user experience and visualization engineering in Health and Biology, I started building personal projects that mix data science and web-development in other fields.Among the technologies I have been using are:- D3.js- React.js- Redux / Flux- Tableau- TensorFlow, Keras- Statistical tests- UX, Visualization principles- Python, R, Javascript, Django, SQL, and more.Among projects, I analysed proteomics signatures for cancer biomarkers with machine learning, statists and visualization and built a web-based Customer Queue Management System with with React, Redux and other technologies to ship a system that works in varied devices. Clean, intuitive and fast graphic interface were priorities in the latter project, aiming to improve user experience and reduce errors and bureaucracy to the minimum.
During my master and doctorate, I worked with teams formed by professionals from different institutions and took part on workshops and conferences. The collaborations and projects I worked on gave me many skills essential for my future positions on data science. The experiences made me a fast learner, innovative and very flexible professional.♦ Effective project management and self-motivation as demonstrated by planning and completing the entire master and doctorate programs, delivering 2 thesis and 6 articles published in high-impact journals such as BMC and Nature.♦ Excellent problem-solving mindset as demonstrated by creating data analysis scripts and testing hypotheses, achieving strategic recommendations to support the decision making in high-cost large projects.♦ Communication skills proved by giving storytelling oral and poster presentations in workshops and international conferences, writing award-winning articles, reporting results, and by mentoring 1 master and 1 doctorate students, aggregating professional value and influence.♦ Extensive analytical skills and a fast learner as showed by reading articles and completing courses and specializations to learn new methods and improve the quality of analysis, maintaining the team and the solutions in accordance to trending technologies.♦ Independent and teamwork skills developed by working in a set-up of 5 cross-functional collaborations, identifying gaps and being the bridge, resulting in more confidence, a better understanding of requirements and enhancing of data quality.
São Carlos Area, Brazil
Organizational and teaching skills developed by assisting the professor on creating and applying exams, reviewing the lectures' material, maintaining the educational online system, supporting students and giving classes on Visualization, Network Algorithms, Data Structure, D3.js, Python and C.While a graduate student, I worked as Teaching Assistant for a total of 2 years, assisting 2 courses with a scholarship and 2 courses being a volunteer.
Halifax, Canada Area
During my PhD I did an internship at Dalhousie University where I worked in a new field. I focused on what I had to learn and soon I was delivering an interactive system for data analysis.♦ Strategic planner and flexible professional, transitioning to a new multi-cultural environment and adapting technical skills to solve a problem in a new field, bringing new perspectives on how to solve the existing problems.♦ Intuitive interdisciplinary personality as evidenced by interpreting new problems and proposing a solution presented in a Canadian conference and delivered as a web-system, leading to impact and influence in the community.♦ Ability to meet tight deadlines, as demonstrated by planning and developing the new 6-month project during this internship, deploying and documenting the open-source system.
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Quick answers generated from the profile data available on this page.
Henry Heberle works for Bayer.
Henry Heberle is listed as Data Science & Visualization at Bayer.
AeroLeads has found 1 work email signal at @usp.br for Henry Heberle at Bayer.
Henry Heberle is based in Cologne, North Rhine-Westphalia, Germany while working with Bayer.
Henry Heberle has worked for Bayer, Bayer Crop Science, Smartergerman, Self-Employed, and Universidade De São Paulo.
Henry Heberle's colleagues at Bayer include Doris Pareja, Heeeun Yang, David Bayer, Joyce Gohra, and De'Andre Woods.
You can use AeroLeads to view verified contact signals for Henry Heberle at Bayer, including work email, phone, and LinkedIn data when available.
Henry Heberle holds Doctor Of Science, Computer Science And Computational Mathematics from Universidade De São Paulo.
Henry Heberle is listed with skills including Computational Biology, Jsp, Neural Networks, R, Git, Deep Neural Networks, Social Network Analysis, and Linux.
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