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@danillobarroscordeiro
danillobarroscordeiro
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Danillo Barros danillobarroscordeiro

Data Scientist | Machine Learning | Data Analyst | AWS | Python | NLP | Deep Learning | Machine Learning | Jupyter notebook | Data Visualization

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Hi πŸ‘‹, I'm Danillo Barros

A passionate Data Scientist from Brazil

danillobarroscordeiro

danillobarroscordeiro

  • πŸ”­ I’m currently working on Negative Reviews Summarization

  • 🌱 I’m currently learning MLOps, Deep Learning, NLP, Topic Modelling

  • πŸ‘¨β€πŸ’» All of my projects are available at https://github.com/danillobarroscordeiro

  • πŸ’¬ Ask me about Python, SQL, AWS, Linux, Machine learning, Data visualization, Power BI

  • πŸ“« How to reach me danillo_barros@live.com

  • πŸ“„ Know about my experiences

    • 4+ Data scientist and data analyst

      • Enhanced reports and dashboards with Python, SQL, and Excel to accurately calculate tax liabilities for large corporations receiving tax breaks, boosting tax collection by over U5ドル million
      • Designed a Python and SQL script to update aggregate margins for various products, enhancing tax base computations and resulting in a tax collection increase of over U7ドル million (more than 10% per year).
      • Implemented a statistical methodology applying R and SQL to establish a new tax base for gasoline, diesel oil, kerosene, and ethanol, based on consumer selling prices at gas stations, resulting in at least a 20% increase in tax collection for these products.
      • Developed a monitoring script applying Python, SQL and Excel to track tax evasion by companies purchasing wheat flour, recovering approximately U3ドル million in unpaid taxes to date.
      • Conducted studies and proposed statistical methodology to reduce tax breaks of the wheat sector, increasing annual tax revenue by up to U15ドル million (more than 20% per year)

    • Business Analysis Manager (Dec 2020 - May 2021)

      • Led a team in developing an Oracle OBIEE data mart and dashboard to identify discrepancies in companies' tax returns,leading to over U3ドル million in tax notifications, and collections.
      • Managed the creation of an Oracle OBIEE data mart focused on company tax debts, resulting in a significant reduction of over 100% in the time required for tax debt calculations.

  • ⚑ Fun fact Friends best series ever ;)

Connect with me:

https://www.linkedin.com/in/danillo-cordeiro

Languages and Tools:

aws bash docker flask gcp git heroku linux mysql oracle pandas postgresql python pytorch scikit_learn seaborn selenium sqlite

danillobarroscordeiro

danillobarroscordeiro

danillobarroscordeiro

Pinned Loading

  1. topic_modelling_negative_reviews topic_modelling_negative_reviews Public

    Jupyter Notebook

  2. sagemaker_respiratory_classification sagemaker_respiratory_classification Public

    Jupyter Notebook

  3. high_values_customer_identifications high_values_customer_identifications Public

    This is an end-to-end data science project which a clusterization algorithm was created

    HTML

  4. insurance_cross-sell insurance_cross-sell Public

    This is an end-to-end data science project which a classification algorithm was used to rank clients which would be interested in getting a car insurance.

    Jupyter Notebook

  5. rossman_sales rossman_sales Public

    This is an end-to-end data science project which predict sales of the next six weeks of Rossmann stores.

    Jupyter Notebook

  6. isketch_website_mab_testing isketch_website_mab_testing Public

    This is an A/B testing project that was made to see if a new version of a sign up button in a website is better than current one.

    Jupyter Notebook

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