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Ernesto Martinez Baez

Ernesto Martinez Baez

Data Scientist

Freelancer | Seattle

Technologies

My Portfolio Highlights

My New Course

Introduction to Python

My New Course

Introduction to Python

I am passionate about finding innovative solutions to complex problems, learning new technologies, and promoting growth around me.

My Work

Take a look at my latest work.

DataLab

Course Notes: Exploratory Data Analysis in SQL

DataLab

Course Notes: Exploratory Data Analysis in Python

DataLab

Competition - motorcycle parts

DataLab

Course Notes: Exploratory Data Analysis in SQL

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Introduction to SQL
Intermediate Python
Intermediate SQL

My Work Experience

Where I've interned and worked during my career.

Microsoft | Jan 2024 - Jun 2024

Research Scientist

⚬ Developed a data modeling pipeline and cross-platform cloud application to predict molecular properties relevant for energy storage solutions contributing to the development of a specialized generative AI model. ⚬ Employed integrated data analytics and modeling techniques to recognize patterns in a large compound database, resulting in identifying the best 10 molecular scaffolds for industrial applications and Microsoft patenting. ⚬ Designed and built the software framework to integrate quantum chemistry packages with Azure Studio capabilities.
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Upwork | Jun 2023 - Dec 2023

Data Scientist Freelancer

⚬ Developed a user-customizable content-based music recommendation system based on song features from the Spotify API and an NLP framework to include lyrics’ sentiment analysis. k-means algorithm and enabled recommendation of similar songs with 90% song match from user-generated playlist data. ⚬ Processed, cleaned and extracted insights from food poisoning claim data from a Brazilian food company that uncovered location-based patterns of malpractice with greater than normal processing times of the food claims.

University of Washington | Jun 2020 - May 2023

Postdoctoral Researcher

⚬ Contributed to the development of a ML Reinforcement Learning model based on a DDPG Actor-Critic neural network infrastructure to design optimal nano-materials and extend its usage to include polymers. ⚬ Developed pipelines to automate the web-scraping and analysis of chemical computational data, speeding up processing times by approximately 40%.

Washington State University | Jan 2016 - Jun 2020

Research And Teaching Assistant

⚬ Designed and applied computational methodologies embedded in Python code to investigate chemical phenomena, resulting in 5 articles as lead computational contributor. ⚬ Transferred and tested the applicability of the graph theory algorithm PageRank, developed by Google, to study molecular structural transformations uncovering new correlations between graphs and spectroscopy. ⚬ Lead the computational chemistry research of a DOE research project (IDREAM) to understand the solvation dynamics and structure of the radioactive waste stored at the Hanford Site resulting in 6 publications.

University of Havana | Jul 2013 - Dec 2015

Junior Instructor

⚬ Design and lead the lecturing of entire courses of advanced chemistry and mathematics subjects for undergraduate and graduate students including Thermodynamics, Quantum Chemistry, Nuclear Chemistry, Mathematical Analysis and Statistics and Probability.

Institut de Physique Nucléaire Orsay | Université Paris-Saclay | Mar 2015 - Jun 2015

Research Intern

⚬ Performed research employing Density Functional Theory to understand the binding mechanism of actinide oxide complexes and the active sites of the calmodulin protein leading to a published peer-reviewed article.

My Education

Take a look at my formal education

Doctor of Philosophy - PhD, Physical ChemistryWashington State University | 2020
Master's degree in Nuclear and RadiochemistryUniversity of Havana | 2015
Bachelor's degree in Nuclear and RadiochemistryUniversity of Havana | 2013

About Me

Ernesto Martinez Baez

Data scientist and researcher with 5+ years of experience leveraging advanced computational tools and Python programming for predictive modeling, data analytics, machine learning and software development.

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