Samuel Hollis Calvo

Data Science entusiast with a strong foundation in Python, SQL, and ML techniques. I am a person who always strives for perfection, learns quickly, and dedicates effort and passion to my work. As a musician, I consider myself to be very creative and imaginative, and I always apply this to my daily life.

With over 6 years of experience in customer service in retail and hospitality, I have had the opportunity to develop and perfect a wide range of skills while working in team settings and providing effective solutions. Throughout my career, I have learned to face challenges with dedication and always offer the best possible service.

I am always looking for new opportunities to grow and learn, eager to contribute my knowledge and skills in a dynamic and collaborative environment. Additionally, I am very excited to start my career in data science and apply everything I have learned.

I have spent many years working in customer service, where I’ve had the opportunity to apply various analytical methods. I’m fascinated by how data can be used to predict future outcomes, and my new goal is to focus my career on this field.

I studied at the 4Geeks Academy bootcamp, where I gained hands-on experience in exploratory data analysis and working with both supervised and unsupervised machine learning models. Additionally, I’ve developed skills in Python programming and the use of libraries like Pandas, NumPy, and Scikit-Learn, Matplotlib, Seaborn, Keras, Tensorflow and others.

Beyond my technical background, I’m also a professional musician, bringing a unique blend of artistic vision and lateral thinking—skills I refined while studying at the Granollers Music Conservatory.