Valter Cheque

Check out my latest article about Mobile Wallets and Financial Inclusion in Mozambique. Mobile wallets reached where banks couldn't. But access ≠ inclusion. Data show a 23x gap between districts and agent network deficits in Zambézia and Tete. linkedin.com/posts/valter-c…

I’m participating in the Databricks DATA+AI WORLD TOUR in Boston. I’m excited to learn a lot and share my experiences with data and AI with others participants. #DataAIWorldTour

@kjgeras @Ataraxis_AI Thanks for sharing. I just applied for the Research Engineer (Data Science) role. I’ve worked with healthcare before, and I am excited to the opportunity of transferring my expertise to directly impact oncology treatment.

We are looking for exceptional candidates for technical roles at @Ataraxis_AI: * Research Engineer (Optimization/Systems): jobs.ashbyhq.com/ataraxis-ai/6f… * Research Engineer (Data Science): jobs.ashbyhq.com/ataraxis-ai/62… * Research Scientist (Causality): jobs.ashbyhq.com/ataraxis-ai/d6… Join us!

Deep Learning by Professor Bryce youtube.com/playlist?list=…

JOB ALERT We’re looking for a full-time social and YouTube genius. You’ll be working with creative and lovely people and doing big things. We want someone to work on thumbnails, manage our social accounts, create shorts and help Core Memory’s channels rise.

@devnullgor @GergelyOrosz Indeed, it kinda makes one spend time trying to understand and judging the approach used by the agent. I usually end up reworking a lot of the code blocks.

@GergelyOrosz This is often harder than coding

How it started: "AI vibe coding tools will replace devs!" How it's going: "Do this: - Provide it w a detailed spec - Break down tasks to small ones - Separate dev and prod envs - Do NOT give access to the agent to prod - Never trust the agent; verify every step it takes - ...

The Analyst's Purpose: Communicating, Clarifying, and Building for Business Impact linkedin.com/pulse/analysts…

The Business Analyst's Question Quest: Unlocking Clarity in Requirements linkedin.com/pulse/business…

Messy Data, Missed Insights: A Quiet Reality in Analytics linkedin.com/pulse/messy-da…

If something is easily googlable, a good norm is to search for it yourself before asking. And if you find something useful, share it. Strive to provide public goods, not merely ask others to provide it.

Não há como falar de Data Science num contexto em que o uso de dados ainda não foi assumido como cultura por parte da maioria das organizações no país. Podemos sim assumir como "way to go" mas penso ser preciso incutir esse mindset hoje e trabalhar mais na Engenharia dos Dados.

I was working on this project in python where I needed to clean a country column in a pandas df because there were so many errors and bad inputs. Happily coco (country-converter) library came to rescue me. Although there are some errors in the library it really helped me out.🤌🏽

@impurefunction Professional account. 😅

I do like working on new data projects (from scratch)because I have the freedom to decide the model and shape the data in order to find an optimal solution.

It doesn't mean that I do work well in teams but I rather be the first one on the project.

So, I've this dataset where it's impossible to work on it without applying manual changes and it kinda makes the process more complex..!!