Thank you for taking the time to read my profile (or at least glance at it!). I’m a Data Science Engineer with a Bachelor's degree in Mechanical Engineering. Currently, I hold the title of Director of Data at Sendwave. In the past, I worked as a Field Data Specialist at Schlumberger in the deserts of Oklahoma. Seven days a week I lived on oil drilling locations collecting, verifying, and interpreting large amounts of raw data from the borehole. Being the only "technology savvy" person for miles I became the computer specialist, the directional drilling co-pilot, the communications expert, and the cell phone repairman.Eventually, decided to leave the company and pursue Machine Learning, a topic which I had then been independently studying for over a year and a half. I needed more challenges in my life, and I wanted to be able to exercise my creative side in impactful (and admittedly more ‘earth-friendly’) ways. I moved to South America and began leading a team of 8 individuals focused on proposing, implementing, and maintaining machine learning solutions. Eventually, our work at Conversica led to two patients and the successful sale of the startup. Afterward, I was part of the founding team at Odd Industries, I collaborate with a team of 9 engineers to build deep learning and autoML models, create platform architectures that support automatic retraining, and assess data quality with automatic detection of drift and poor segment performance. When the pandemic rocked the world the construction focus startup (Odd Industries) started to loose steam and I took an opportunity to lead the anti-fraud program at Sendwave. The experience was thrilling and as the needs of the company changed I slowly moved into my current position as owner of the Data job family and director of both the anti-fraud and data engineering teams. I love what I do and hope to continue to evolve with this budding industry in the future. I define success in work environment as being placed in a position where I'm surrounded by people that want to fuse science, technology, and intuition, with a little faith, hope, and dedication.