Python
Jorge Francisco Bravo Avilés
Data Scientist & Data Engineer
Mexico City
Summary
Results-oriented data professional with 1.5 years of experience in data engineering and data science. Proficient in establishing clear communication channels with business stakeholders to comprehend their needs and deliver data and technology-driven solutions that facilitate strategic decision-making. A fast learner committed to continuous learning and staying abreast of IT advancements.
Overview
2
2
years of professional experience
5
5
years of post-secondary education
2
2
Certificates
2
2
Languages
Work History
Data Engineer
BBVA In Mexico
Mexico City
03.2023 - Current
- Developed PySpark-based notebooks for data cleansing and processing, leveraging built-in Spark SQL functions and queries to efficiently manipulate data.
- Created data dictionaries, conducted thorough validation of data types, field lengths, constraints, partitions, storage types, sensitive information, and standardized field naming to enforce comprehensive data governance and security across the entire data lifecycle, spanning from data sources, through ETL processes, to cloud environments.
- Collaborated closely with data scientists and stakeholders to gain insights into their needs and developed tailored data models to meet their requirements effectively.
- Implemented automation of repetitive tasks through Python scripting, significantly enhancing team productivity and minimizing manual errors.
Data Scientist Jr.
ENKI SA. De CV.
Mexico City
06.2022 - 03.2023
- Designed and implemented a price optimization tool utilizing various supervised learning algorithms including Linear Regression, Gradient Boosting, Random Forests, SVM, and KNN, among others, within a Python environment.
- Conducted feature engineering efforts to enhance model performance by creating new relevant variables from raw input data sources.
- Developed demand forecasting models utilizing supervised learning techniques such as Linear Regression, Gradient Boosting, and Random Forests, as well as autoregressive models including ARIMA, SARIMA, and Prophet, among others. Achieved up to a remarkable 30% average enhancement in model performance.
- Successfully deployed forecasts for all SKUs and categories across 140 stores nationwide, ensuring comprehensive coverage and accuracy in demand predictions.
Education
Bachelor of Science - Physics
University of The Americas Puebla
Puebla 08.2017 - 06.2022
Skills
Big Data Processing
Software
SQL
Apache Spark
Git
Power BI
Certification
SAFe 5.0 Scrum Master
Work Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Quote
Imagination is everything. It is the preview of life’s coming attractions.
Albert Einstein
Timeline
Secure Develpment
05-2024
SAFe 5.0 Scrum Master
04-2023
Data Engineer
BBVA In Mexico
03.2023 - Current
Data Scientist Jr.
ENKI SA. De CV.
06.2022 - 03.2023
Bachelor of Science - Physics
University of The Americas Puebla
08.2017 - 06.2022
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