Esteban Hernan E.

Esteban Hernan E. has extensive work experience in the field of data science and analytics. Esteban Hernan is currently working as a Senior Data Scientist Engineer at Mercado Libre, where they are part of the Applied Machine Learning Team. In this role, they explore business units to identify opportunities for leveraging machine learning, assesses technical feasibility and scope of machine learning solutions, and builds scalable machine learning minimum viable products (MVPs) to add business value.

Additionally, Esteban serves as a Teaching Assistant for the Python for Data Science course at The University of Chicago through Global Alumni. Esteban Hernan supports students in learning foundational Python, data analysis, advanced data analysis, machine learning, parallelization, scraping, threading, and model deployment. Esteban Hernan is responsible for grading assignments and participating in course planning and development.

Moreover, Esteban works as a Professor of Data Science at Digital House, where they teach a comprehensive 480-hour intensive data science program. Esteban Hernan covers topics such as inferential and descriptive statistics, probability, Python programming for data science, and data wrangling.

In the past, Esteban held the position of Lead Data Scientist at Edenor, where they coordinated a team of data scientists and led projects related to Discovery, POC, Modeling, and Deploying machine learning.

Esteban Hernan also has experience working as a Freelancer, where they focused on data science projects related to fraud prevention in online poker. This involved building reinforcement learning models and developing a computer vision model for fraud detection based on mouse pattern movements.

Prior to their work as a freelancer, Esteban was a Senior Fraud Technical Expert at Rational Group, where they designed and implemented solutions to prevent dishonest practices in the online casino industry. Their responsibilities included population tendencies and behavior analysis, pattern analysis, fraud profiling analysis, fraud case resolutions, and designing metrics for fraud prevention.

Earlier in their career, Esteban worked as a Financial Analyst at Maffra Financiera and as the Chief of Operations at Acyr S.A., where they were in charge of the operations department, overseeing various divisions in the security and services industry.

Overall, Esteban Hernan E.'s work experience showcases their expertise in data science, machine learning, fraud prevention, and operations management. Esteban Hernan has a strong background in teaching and delivering comprehensive data science programs.

Esteban Hernan E. has a diverse education history in the fields of data science, statistics, economics, and computer engineering. Esteban Hernan started their education journey in 1999 at Universidad de Belgrano, where they pursued a Bachelor of Engineering degree in Computer Engineering. Esteban Hernan completed this program in 2001.

After a few years, Esteban enrolled at Pontificia Universidad Católica Argentina 'Santa María de los Buenos Aires', where they pursued a Bachelor of Science degree in Economics. Esteban Hernan studied at this institution from 2005 to 2010.

In 2020, Esteban continued their education at the prestigious Massachusetts Institute of Technology (MIT), where they pursued a MicroMasters degree in Statistics and Data Science. Esteban Hernan completed this program in 2022.

In 2022, Esteban began their master's program at Universidad Austral, Buenos Aires, specializing in Data Science. Esteban Hernan is expected to complete their Master in Data Science - MS degree in 2023.

Aside from formal academic degrees, Esteban has also obtained various certifications and completed several online courses to enhance their knowledge and skills. Esteban Hernan holds certifications in areas such as Machine Learning Engineering for Production, AI Engineering, Data Science, Data Engineering, and more. These certifications were obtained from institutions like DeepLearning.AI, Coursera Course Certificates, RapidMiner, fast.ai, Stanford University, Udemy, and Amazon Web Services (AWS).

It is important to note that Esteban has gained valuable expertise and knowledge in data science, statistical analysis, computer engineering, and other related fields through their education and certification experiences.