Ennio Guzmán
About Me
Naturally curious and driven by innovation. I thrive on new challenges and am constantly seeking opportunities to learn and share knowledge. With a solid foundation in electronics engineering, I have honed my problem-solving and logical thinking skills, which I have successfully transitioned into the field of data science.
As a Data Scientist, I enjoy solving complex problems with data, whether it’s creating a music recommender system or developing a pneumonia classifier using convolutional neural networks. I am passionate about leveraging AI and machine learning to create impactful solutions. I have worked on projects involving Large Language Models (LLM), advanced visualizations in D3, and the application of knowledge graphs.
I hold a Master’s degree in Data Science and have completed over 70 online courses in various areas related to data science, machine learning, and deep learning. My continuous quest for knowledge enables me to tackle diverse challenges and contribute with solutions implementing AI technologies.
With more than two and a half years of work experience in the field, I have been involved in projects that include advanced analysis, predictive modeling, and the development of machine learning models. My work typically includes creating interactive data visualizations, implementing machine learning algorithms, and exploring innovative solutions with AI.
Feel free to connect with me on LinkedIn or reach out via email.