Roberto Bandeira de Mello

Data Analytics Lead at Better Health

Boston, United States (-05:00 UTC) English, Portuguesefrom Boston, United States
Usually responds in 2 days
Free
Price per hour
Not available
Time Blocks Available
0.00
0 reviews / 2 sessions
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Next availability
Not available in the next 30 days

Bio

My background includes Data Science, Operations and PM positions, besides a BSc and MSc in Electrical Engineering, and an MBA from Stanford Graduate School of Business. Reach out to me if you want to talk about marketplace startups, data analytics, finding product/market fit, corporate culture or entrepreneurship!

Expertise


  • Data science

    Across technical and business jobs, I'm fluent in data across a spectrum of applications - analytics, creating dashboards, writing SQL queries, managing ETL pipelines, and even Machine Learning. I have plenty of experience with Python, SQL, Plotly/Dash, Tableau, Metabase, Mode, and other technologies.

  • Product management

    As a Product Manager at Instawork, I led the successful launch of the Captains tool, reducing complaint tickets and driving strategic business growth. Captains have 99% approval rate and support over 20% of all platform shifts. At Shef, I orchestrated nationwide expansion through operations and product, with markets I owned growing from 11% to 16% of all the company's revenue within a quarter. My career reflects consistent excellence in product development, analytics, and strategic leadership.

Toolkit


  • MySQL logo

    MySQL

    10 years of experience

    My first job our of college was as a Data Scientist at a bank, where I spent a good chunk of my time writing SQL queries for a myriad of applications. Since then, I've been responsible for querying my own data in Operations and Product roles, and feel extremely confident with it.

  • Python logo

    Python

    10 years of experience

    My first job our of college was as a Data Scientist at a bank, where I spent my time writing REST APIs using django, doing data analyses using Pandas, and even structuring ETL pipelines. Since that job, I've successfully used Python in many contexts: analyzing data to make decisions in Operations/Product; developing ML models for my masters thesis; creating dashboards in Plotly/Dash; etc.

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