As a highly skilled Petroleum Engineering graduate with a strong background in Data Science, Python programming, and Machine Learning, I am passionate about leveraging my expertise to drive positive change and improve the overall standard of living. With over two years of experience in the field, I have worked on diverse projects in sectors such as Energy (including Natural Gas, Oil and Gas, and Renewable Energy), Education, Digital Currency, and Business.In my most recent role as a Data Science Intern at Qwasar, a Silicon Valley-based company, I have been actively contributing to data science projects, gaining valuable industry experience, and honing my skills. Prior to that, I worked as a Data Science Researcher and Writer at Elitar Consult, where I conducted research in areas such as Renewable Energy, Geothermal Energy, Business, Project Management, and Artificial Intelligence.Additionally, I have been a Machine Learning Campus Ambassador at Total Transformation Ambassadors Network, where I played a key role in training over 200 students from various universities in machine learning, data science, and artificial intelligence. I have also excelled as a Data Analyst at IConnect Hub, where I analyzed data to provide valuable insights for decision-making and sales promotion, resulting in a significant increase in customer return rate.With a strong foundation in Python programming and a keen eye for data analytics, I have successfully completed projects such as leak detection in gas pipelines, lithology classification in the oil and gas industry, and cryptocurrency price prediction. These projects have showcased my ability to apply machine learning techniques to solve complex problems.I hold a Bachelor's Degree in Engineering from the Federal University of Technology, Owerri, and an Advanced Diploma in Business Administration from the Tekedia Institute, Boston, USA.Please feel free to connect with me on LinkedIn or visit my GitHub profile to learn more about my projects and contributions.email: eben.aniyom@outlook.comphone: +2348130948879