Rudiney C

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Machine Learning Educator

Sep 2025 - Current (1 year 2 months)

- Content Creator, Reviewer, Editor, Translator (English to French). - AI Workforce Readiness (AIWR) - Curriculum Resource Packages. - AI Planning and Initiation (AIPI) - Training/Industry.

Data Science Instructor

Ada Tech

Feb 2024 - Current (2 years 9 months)

As a Data Science Instructor at Ada Tech, I Taught topics in Data Science and Data Engineering: DS-PY-002 Object Oriented Programming: This course focuses on using Python to create classes of functions. Students learn Introduction, Programming Paradigms, Object Oriented Programming (OOP), Classes and Objects in Python (Modules and Properties, Private and Class Attributes), Magic Methods, Inheritance, Polymorphism, Class Development in OOP. DS-PY-004 Programming Techniques I: This course focuses on developing tools and techniques to apply Python in different situations. Students learn GIT, Pandas, Numpy, Data Reading, Data Cleaning, Data Transformation. DS-PY-006 Data Bases I: This course focuses on creating data bases. Students learn Entity

Master of Data Analytics Program - Sessional Instructor

University of Niagara Falls Canada

Apr 2025 - Sep 2025 (6 months)

As a Sessional Instructor I teach three disciplines: - CPSC 610 Python for Data Analytics: This course focuses on using Python in a data analysis context. Students learn to manipulate data, perform statistical analysis and visualization with Python and tools like Jupyter, Numpy, and Pandas. This course also considers how to integrate Python codes with other analytics tools like Excel, Power BI, and Tableau. - DAMO 600 Prescriptive Analytics: This course introduces statistical optimization methods and tools to build decision support and automation models. Students have opportunity to explore and evaluate prescriptive analytics models in healthcare, finance, logistics and other fields of their own interest. Students also develop user-friendly

Senior Lead Data Scientist

Kyndryl

May 2022 - Jul 2025 (3 years 3 months)

As a Senior Lead Data Scientist at Kyndryl I could: - Collaborate as Group Leader with international teams and data scientists of different seniorities to provide support and data solutions to Asset Management, Finance, Sales, Marketing and Procurement teams, attending business requirements with accuracy and reliability. - Develop analysis on asset management data, helping improve accounting of hardware and software resources. - Help to develop web application to automate procurement commercial pricing process, reducing human errors, shortening procedure from 15 minutes to 10 seconds. - Develop a data pipeline Proof of Concept (PoC) for service signings forecasting, improving revenue and cost prediction. Later collaborated with the architec

Data Scientist

Ford Motor Company

Mar 2020 - May 2022 (2 years 3 months)

As a Data Scientist at Ford's GDI&A South America I could. - Apply of Python, Alteryx, QlikView, SQL, Microsoft SQL Server, GCP and Azure, to Data Analysis and to production of dashboard and storytelling, - Create dashboards for Customer Experience (CX) teams. - Analise Connected Vehicles data and development of tools to help optimize periodical mechanical inspections. - Develop Forecasting models for vehicle segmented market sales. - Produce didactic content on Digital Transformation Topics, Workshops, Blog and articles on (Microsoft SharePoint); - Participate in International collaborations with teams from Argentina, Costa Rica, Colombia, USA and India, to support business stakeholders taking innovative data strategies and performing stra

Data Science Instructor

Digital House Brasil

Feb 2020 - Jul 2022 (2 years 6 months)

As a Data Science Instructor at Digital House, I taught in Data Science courses in a flipped classroom approach, promoting an effective learning environment for students. I also wrote insightful articles to the company's blog and created content for the several course modules. Topics: - Data Science Fundamentals: Numpy, Pandas, GeoPandas, Probability, Data Visualization - EDA, Data Cleaning, Statistical Methods, Probability, Causal Inference, Inferential Statistics - ML, Scikit-Learn, Regression and Regularization, Dimensionality Reduction - Classification, GridSearch, Clustering, Model Evaluation - Trees, Ensambles, Boosting - Time Series, Text Mining - APIs, Pickle, Flask. - Content Translation/Revision/Creation: - Translation of original

Data Scientist

ZOLY

Jun 2019 - Mar 2020 (10 months)

As a Data Scientist at ZOLY I: - Performed subsequent roles as Data Analyst/Engineer/Scientist, to develop digital media data analysis and optimize performance metrics and web services for Healthcare, Education, Banking, Finance and Telecommunication markets. - Created dashboards on Power BI, Google Data Studio by collecting data from SalesForce, Oracle Facebook, and Google Analytics. - Improved the company's data engineering query structure by using GCP Google Big Query and Google Cloud Storage, revising and improving SQL and Python codes to generate business reports.

A

Assistant Professor

Aug 2017 - Aug 2018 (1 year 1 month)

Professional experience in College Education at UNISOCIESC (2017-2018). Position held as Professor of Civil, Electrical, Mechanics and Production Engineering, as well as Business course, teaching subjects on: - Linear Algebra; - Differential Calculus; - Mathematics I; - Transport Phenomena.

Assistant Professor

Uniasselvi

Jun 2017 - Jun 2019 (2 years 1 month)

Professional experience in College Education on Physics Course at UNIASSELVI (2017-2019), in face-to-face and distance modalities. Position as distance education professor held at undergrad Physics course, responsible for the disciplines of: - Waves and Optics; - Thermodynamics I; - Analytical Geometry; - Fundamentals and history of physics; - Mechanics II. Position as Professor of on-site of courses in Civil, Electrical, Mechanical and Production Engineering, teaching the subjects of General and Experimental Physics: - Electromagnetism; - General and Experimental Physics: Waves and Optics; - General and Experimental Physics: Energy.

Assistant Professor

Universidade do Sul de Santa Catarina

Jul 2016 - Feb 2018 (1 year 8 months)

Professional experience in college education as Physics Professor at the University of Southern Santa Catarina - UNISUL (EAD) (2016 - 2018), in the distance mode. Position held on the Mathematics course, responsible for the disciplines of: - Fundamentals of Mechanics; - Fundamentals of Thermodynamics; - Fluid Mechanics; - Topics in Modern Physics.

Postdoctoral Fellow

Instituto Tecnológico de Aeronáutica - ITA

Dec 2015 - May 2017 (1 year 6 months)

Post-Doctoral fellow at the Aeronautics Institute of Technology (ITA), Brazil (2015 - 2017). Acting mainly on research of Nuclear Structure and Nuclear Reactions modeling, pairing phenomena between nucleons, Hartree-Fock-Bogoliubov and Brueckner-Hartree-Fock approximations.

Postdoctoral Fellow

Université Claude Bernard Lyon 1

Oct 2013 - Sep 2015 (2 years)

Post-Doctoral fellow at the Institut de Physique des 2 infinis (IP2I) de Lyon at the Université Claude Bernarde Lyon 1, France (2014 - 2015). Acting mainly on the research of new non-relativistic models for nuclear matter, with applications on astrophysics of stellar matter at finite temperature, neutron stars and white dwarfs. Development of Supernova collapse modeling.

Assistant Professor

Universidade Federal de Santa Catarina

Jan 2009 - Aug 2009 (8 months)

Professional experience as Professor of Physics at the Federal University of Santa Catarina (2009) for the disciplines: - Fundamentals of Physics (Zootechnics) - Physics for Aquaculture (Aquaculture Engineering).

Professor - Tutor

Universidade Federal de Santa Catarina

Jul 2008 - Jul 2009 (1 year 1 month)

Professional experience as Tutor of Physics at the Federal University of Santa Catarina, distance mode (UFSC-PROLICEN) (2008 - 2009), on the course of: - Basic Physics topics; - Laboratorial Physics; - Topics in Modern Physics; - Calculus II & III.

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Rudiney C

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