Jaime is a versatile data scientist and developer with 4+ years of experience working in all stages of the data science pipeline for different organizations. He is highly-skilled in R and Python, also having direct experience working with Machine Learning, Deep Learning, NLP, and AWS. Achievements include developing several interactive RShiny dashboards and training speech synthesis models by using automatic speech transcription, being a regular contributor to data science projects on GitHub.
Create and implement data analysis pipelines, including data access, ingestion, munging / manipulation / cleansing, analysis / modelling, testing, deployment / integration into business applications and services.
Enhance operational aspects of businesses by increasing control of the company's data.
Working in cross-functional teams to provide data-driven solutions for increased efficiency and productivity.
Worked with structured data on the development of a data science pipeline that included data cleaning, feature engineering, and model building/deployment.
Created RShiny dashboards and managed multiple Amazon Web Services (AWS) S3, EC2, Lambda, API Gateway, Cognito, and RDS.
Developed an application that collected status updates and comments from Twitter and Facebook in order to perform sentiment and text analysis.