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Kaike Wesley Reis

ABOUT ME

Passionate about artificial intelligence and its applications in human society, I have approximately 2 years of experience in robotics and machine learning with model development, data visualization and manipulation for academic and professional purposes. Activities such as data analysis and visualization, intelligent models development using the state of the art, Linux, statistical analysis and machine learning are part of my daily life.

CONTENT PRODUCTION

Github Email: kaikewesley@hotmail.com PROFESSIONAL

In my professional career I present a profile focused on Mathematical/Engineering field where I initially worked as an assistant professor at UFBA Mathematics Institute and soon afterwards I started my experiences into Data Science with emphasis on data analysis and modeling through different artificial intelligence techniques, even getting an international internship at Czech Techinical University in Prague (CTU) in Czechia.

More recently I worked in the robotics sector at SENAI Cimatec, working with control of robotic manipulators and computer vision using Deep Learning techniques.

I am currently looking for an opportunity in the field of Data Science or Robotics.

PROJECTS & PLANS

Currently in my last academic year of Bachelor Degree in Control and Process Automation Engineering at UFBA, I have participated in competitions in Kaggle mainly on those aimed at solutions against the Corona Virus (COVID-19) using Data Science and I take online courses to further improve myself in Data Science with a greater focus on relational database and cloud computing.

In the future I aim to build a blog to share my evolution and interact with other enthusiasts in the field. In addition, I write tutorials hosted on my personal github in order to teach Deep Learning, my current study field.

SKILLS

Python Programming, C ++ Programming, Data Modeling, Machine Learning, Deep Learning, Data Visualization, Matplotlib, Seaborn, Excel, Relational Database with MySQL, tensorflow, keras, shap, scikit-learn (sklearn), pandas and bnlearn.

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