pnmath
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Strengths and Weaknesses

Your Simpsons character
Lisa Simpson is the most intellectually driven and analytically minded of the main cast, constantly questioning adult decisions and valuing rational evidence. The user’s tweet "Causal inference is my passion" mirrors Lisa’s love for science and data-driven reasoning. Their frequent criticism of hype, as seen in "Convencer quem não trabalha com isso diretamente que usar um LLM no lugar de um modelo de regressão é uma ideia ruim", reflects Lisa’s skepticism toward shortcuts. The emphasis on high performance and disciplined work, such as "Bora codar performaticamente?" and "Me desejem forças porque hoje é Dia de Perna", aligns with Lisa’s habit of pushing herself academically and physically. Additionally, the user’s concern about ethical use of data and corporate pressures, e.g., "Shareholder value" and "LGPD", mirrors Lisa’s moral compass and activism.

Your MBTI personality Type
The user tends to speak about internal reactions and personal frustrations (e.g., "Eu escuto 'precisa abrir um chamado' e já me dá azia"), indicating an introverted focus. They consistently discuss abstract concepts, future tech trends, and theoretical frameworks like causal inference and the Baumol effect, showing a preference for intuition over concrete details. Their critiques are logical and data‑driven, such as arguing that swapping a regression model for an LLM is "uma ideia ruim," which reflects a thinking decision style. Finally, they emphasize structure, schedules, and efficiency (e.g., "Sexta 18h Quem fez fez" and "Me desejem forças porque hoje é Dia de Perna"), pointing to a judging orientation.

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Your 5 Emojis
Your new Twitter bio
Data engineer, causal inference enthusiast, Python performance nerd, LLM skeptic, bench‑press hobbyist (once set all passwords to 1234).– @pnmath

Your signature cocktail
This drink merges the Brazilian spirit cachaça (a nod to his location) with a shot of cold brew coffee, echoing his tweet "Causal inference is my passion" which shows his love for data science. The ginger’s sharp bite mirrors his frustration in "Convencer quem não trabalha com isso diretamente que usar um LLM no lugar de um modelo de regressão é uma ideia ruim… Existe um FOMO muito forte, mesmo que isso signifique inferência 100x mais cara e métricas piores", highlighting his wariness of costly LLM hype. A splash of lime adds a zesty reminder of his "agora o Python vai ter lazy imports, o help não vai levar 4s pra rodar" tweet, representing his drive for speed and efficiency. The dash of orange bitters symbolizes the tension between simple regression and massive LLMs, as he warns "usar um LLM no lugar de um modelo de regressão é uma ideia ruim". Finally, the sparkling finish captures his "High agency" mindset, as he proudly posted "High agency".

Your Hogwarts House
The user shows a strong focus on intellectual curiosity and analytical thinking, as seen in tweets like "Causal inference is my passion" and "Convencer quem não trabalha com isso diretamente que usar um LLM no lugar de um modelo de regressão é uma ideia ruim...". They often discuss technical nuances, for example "Agora o Python vai ter lazy imports, o help não vai levar 4s pra rodar" and critique hype in AI, reflecting a love of learning and wisdom. Their frequent posts about optimizing code performance, questioning metrics, and seeking deeper understanding of data science tools further align with Ravenclaw values. This pattern of valuing knowledge, critical analysis, and thoughtful problem‑solving indicates a Ravenclaw personality.

Your movie

Your song
pnmath constantly pushes for performance, e.g., 'Bora codar performaticamente?' and complains about slow imports: 'agora o Python vai ter lazy imports, o help não vai levar 4s pra rodar', showing a desire to make things faster. Their fitness tweets like 'Consegui aumentar o peso no supino to feliz' and 'Me desejem forças porque hoje é Dia de Perna' echo the 'stronger' aspect. The song's refrain 'Harder, better, faster, stronger' mirrors their mantra of optimizing ML pipelines, as seen in 'Convencer quem não trabalha com isso ... usar um LLM no lugar de um modelo de regressão é uma ideia ruim' where they argue for a better, not just bigger, model. The lyric 'Work it harder, make it better, do it faster, makes us stronger' captures their blend of tech and gym mindset, making this track a perfect fit for pnmath.

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