The data is the fuel to the machine learning models that will be built in order to tell you what might happen in the future, for example, sales and demand forecasts.

Analyze the data in order to extract meaningful insights that will leverage your business. The findings are clearly presented in reports or tools.

Visualizing and interacting with the data is one of the first steps to examine trends and patterns. View the most important KPIs and results at a glance.

Hello, I'm Bruno Katekawa. I've worked for companies of various sizes, from startups to multinationals where I had extensive experience in Information Technology and User Experience, extracting the maximum potential from these disciplines in order to deliver the greatest possible value to the businesses and their customers.

In addition, I’ve collaborated with projects that positively impacted hundreds of thousands of people that use banking services (retail, corporate and private), telecoms services and health insurance services.

I appreciate collaborating with projects that change the way businesses and industries operate to make positive impact to people.

I learned a lot and I’m still learning with every project that I collaborate and every people that I know.

Got a wicked problem? Let's solve it together!

A Wicked Problem is a problem that is difficult or impossible to solve because of incomplete, contradictory, and changing requirements that are often difficult to recognize. It refers to an idea or problem that cannot be fixed, where there is no single solution to the problem; - Wikipedia

At a high level, digital marketing refers to advertising delivered through digital channels such as search engines, websites, social media, email, and mobile apps. Using these online media channels, digital marketing is the method by which companies endorse goods, services, and brands.

Marketing is crucial for the growth and sustainability of any business. It can help build the company’s brand, engage customers, grow revenue, and increase sales. One of the key pain points for a marketing team is to know their customers and identify their needs.

According to Infosecurity Magazine, fraud cost the global economy £3.2 trillion in 2018. For some businesses, losses to fraud reach more than 10% of their total spending. Such massive losses push companies to search for new solutions to prevent, detect, and eliminate fraud.

Project repo: https://github.com/brunokatekawa/fraud_blocker_company

The Fed has estimated that pandemic-related loan losses for big US banks could reach $700 billion in a worst-case scenario (“double-dip” or W-shaped recession), pushing banks close to their capital minimums.

Project repo: https://github.com/brunokatekawa/credit_risk

With a trillion dollars on the table, businesses may also want to take other steps to curb turnover and keep their workforce happy and engaged.

Project repo: https://github.com/brunokatekawa/PeopleAnalytics_Turnover

Marketing is crucial for the growth and sustainability of any business. It can help build the company’s brand, engage customers, grow revenue, and increase sales. One of the key pain points for a marketing team is to know their customers and identify their needs.

Project repo: https://github.com/brunokatekawa/credit_card_clustering

CVDs are the number 1 cause of death globally: more people die annually from CVDs than from any other cause. People with cardiovascular disease or who are at high cardiovascular risk (due to the presence of one or more risk factors such as hypertension, diabetes, hyperlipidaemia or already established disease) need early detection and management using counselling and medicines, as appropriate.

Project repo: https://github.com/brunokatekawa/cardio_catch_diseases

In a quarterly report meeting at Rossmann, the directors board identified an increase in competitors stores openings.

Project repo: https://github.com/brunokatekawa/RossmannSales

How a business can view relevant business KPIs and results at a glance in order to make better data-driven decisions?

Project repo: https://github.com/brunokatekawa/dashboard_sales_retail_WM

MySQL	Python	pandas	NumPy
Matplotlib	seaborn	scikit-learn	SciPy
statsmodels	Apache Spark	Power BI	Tableau
Flask	Heroku	Streamlit

• Data Science + UX? (PT-BR)
• Dual Track Data Science and Experience Design Life Cycle (PT-BR)
• Installing Apache PySpark to run on Jupyter Notebook on MacOS (PT-BR)
• On People Analytics — Employee Turnover - A trillion dollars problem
• Linear Regression Study 1 - An exercise on beer consumption (PT-BR)