Ai Engineer

1. Accepting orders as an IT Service
2. Conducting seminars and events
3. Volunteering
4. Exchange of ideas and team environment
5. Hybrid arrangement

Receiving and preprocessing incoming stream data, clearing incoming data, and preparing for machine learning if needed.
Building pipelines to ensure that the developed machine learning model achieves a minimum accuracy of 85% Proficient in data visualization, with a focus on creating color graphics using graphs such as bar plots, histograms, and scatterplots. Building Artificial Intelligence models. Use of classification algorithms in Machine Learning
• Learning new knowledge