Skip to content
View danillobarroscordeiro's full-sized avatar
5 followers · 15 following

Block or report danillobarroscordeiro

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
danillobarroscordeiro/README.md

Hi 👋, I'm Danillo Barros

A passionate Data Scientist from Brazil

danillobarroscordeiro

danillobarroscordeiro

  • 🔭 I’m currently working on Negative Reviews Summarization

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

  • 👨‍💻 All of my projects are available at https://github.com/danillobarroscordeiro

  • 💬 Ask me about Python, SQL, AWS, Linux, Machine learning, Data visualization, Power BI

  • 📫 How to reach me danillo_barros@live.com

  • 📄 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 U$5 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 U$7 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 U$3 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 U$15 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 U$3 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