As a software engineer specialized in the field of data, I have a diverse background encompassing roles as a Python Developer, BI Developer, Analytics Engineer, Data Engineer, and Data Scientist. My experience includes the extraction of data from various sources using techniques such as web scraping, document parsing, and API consumption, in addition to SQL queries. I also have experience transforming and modeling data with tools like DBT Cloud. My background includes data mining, warehousing, and analytics. I possess a strong grasp of machine and deep learning.
My passion is dedicated to streamlining processes and optimizing data workflows, with a strong commitment to automating tasks whenever possible.
Responsible for integrating external data sources into the existing data pipeline, which includes inflation indices, automotive industry data, and various economic indicators.
Tasks:
Skills & tools: Python, Airflow, Bigquery, SQL
Worked with a supply chain startup serving third-party logistics (3PL) warehouses.
Responsibilities:
Skills & Tools: Python, Supabase, Cloud Functions, Asyncio, Camelot
Skills & Tools: BigQuery, Cloud Functions, DBT.
Led the churn model research team and served as the POC for MailAmericas, a supply chain company interested in identifying patterns in their last-mile providers. Delivered a statistical report and a prototype of a recommender system for last-mile providers.
Skills & Tools: Python, Amazon S3, Amazon Athena, scikit-learn.
Skills & tools: Python, Azure DevOps.
Skills & tools: Python, Selenium, BeautifulSoup, Postman.
Skills & Tools: Python, PostgreSQL, GCP