I've been watching some Mr. Beast interviews lately and I find the fact that he used analytics to become the most subscribed youtuber of all time fascinating. One thing he mentioned in his backstory; was that he found 4 or 5 other people that wanted to be youtuber early in his career and jumped on calls with them every day for long periods of time and they shared everything they learned. In his words this 5X'd his learning speed. I would like to do the same for Data Science / AI freelancing. I am looking for ~4 other people to jump on calls with ~every day to discuss Data Science / AI Freelancing. I love this community but I want to do what Mr. Beast did as well. So leave a comment or message me if you are interested. This is not an attempt to sell anything or build any kind of funnel so I hope it's not against the rules. Thank you for reading.

Data Analysis & Business Intelligence: - Positions: Data Analyst, BI Analyst, Business Analyst, Marketing Analyst, among others. - Primary Tasks: Analyzing data, creating strategies, and enhancing performance. Data Science & Machine Learning: - Positions: Data Scientist, Machine Learning Engineer, Deep Learning Engineer, Predictive Modeler, etc. - Primary Tasks: Creating algorithms, building predictive models, and deriving insights from data. AI & Robotics: - Positions: AI Developer, AI Research Scientist, Robotics Engineer, Autonomous Systems Engineer, and similar roles. - Primary Tasks: Developing AI applications, designing robotic systems, and pushing the boundaries of AI technology. Data Engineering & Management: - Positions: Data Engineer, Data Architect, Database Administrator, Data Governance Manager, and more. - Primary Tasks: Constructing data infrastructure, maintaining data quality, and ensuring data security. Research and Development: - Positions: AI Research Scientist, Computational Linguist, Quantum Machine Learning Researcher, and other R&D roles. - Primary Tasks: Engaging in AI research, creating computational models, and investigating cutting-edge technologies

Today I've just finished my first certificate as AI for Everyone. https://coursera.org/share/455ebda7c0562540eac0705242a0ce7a Now en-route to goe my new one: Deep Learning Specialization (:

A Comprehensive Toolkit for High-Quality PDF Content Extraction. https://github.com/opendatalab/PDF-Extract-Kit

After three years of studying Mechatronics Engineering and exploring various fields—from mastering the fundamentals of coding to delving into PLC programming, and then shifting towards Project Management—I have now discovered my true passion in AI and Machine Learning. This realization has been crystallized during my current internship at e-MAS company. Initially, I believed that my diverse skill set would set me apart, but I soon recognized that I was not as advanced as I had thought. This has been a humbling experience, highlighting that I still have much to learn. With one year left to complete my degree, I am fully committed to focusing on AI and Machine Learning, determined to avoid the pitfalls of spreading myself too thin by jumping between fields. I am eager to dedicate this time to mastering these disciplines and applying the lessons learned from my past experiences to ensure I can excel in this rapidly evolving industry. I just wanna share this with you guys🙃