
Strengths and Weaknesses

Your Simpsons character
Lisa Simpson is the academically‑driven, curious, and socially‑conscious character, and Ümit’s tweets reflect those traits. He frequently shares research‑oriented posts such as "just learned about TimesNet: a general purpose DL approach for time series" and "deepmind kısa vadeli hava durumu değişimlerini yüksek doğrulukla tahmin eden bir model geliştirmiş", showing a love of cutting‑edge science. His "planning to sponsor more open source builders next year (priority on students from the developing world)" tweet mirrors Lisa’s activism and concern for the under‑represented. The frequent "reading list thread" and "my trading system is +158.8% up this year (live results in dollars)" posts highlight his analytical mindset, much like Lisa’s penchant for data and rational analysis. Finally, his interest in historical topics ("Sea Peoples appreciator") and broad curiosity echo Lisa’s broader intellectual pursuits.

Your MBTI personality Type
The user’s communication is strongly inward‑focused, often sharing personal experiments and reflections such as “my trading system is +158.8% up this year” and “i wasn't entirely useless today i did emerging markets research”. They gravitate toward abstract, future‑oriented ideas, discussing advanced models (“just learned about TimesNet…”) and theoretical concepts like category theory and cognitive‑bias research, showing a preference for iNtuition. Their decision‑making is logical and data‑driven, evident in statements like “hft is fine but have you done effortless alpha in emerging markets with the simplest methods” and “linear regression is more interpretable and explainable”. They also exhibit a structured, goal‑oriented lifestyle, planning initiatives (“planning to sponsor more open source builders next year”) and organizing content (“reading list thread”, “my team at amazon is hiring a BIE II”). These patterns collectively align best with the INTJ personality type.

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Your new Twitter bio
Data scientist @ Amazon, forecasting markets & supply chains. Ex‑trader who once tried to forecast a pirate’s loot. Sea‑people fan. #AI #Finance– @umitkaanusta

Your signature cocktail
The cocktail, named "Chrono‑Sea Cipher", blends the salty edge of the Mediterranean with bright, data‑driven flavors, echoing Ümit’s love for the Sea Peoples and time‑series forecasting ("Sea Peoples appreciator / also into time series forecasting & tabular foundation models"). The base of gin provides a crisp, analytical backbone, much like his "just learned about TimesNet: a general purpose DL approach for time series" tweet, while blue curaçao adds a deep oceanic hue reminiscent of his fascination with the sea. Lemon juice and ginger syrup give a sharp, zesty lift that mirrors his "hft is fine but have you done effortless alpha in emerging markets with the simplest methods" vibe, offering both spice and clarity. A pinch of sea salt finishes the drink, grounding it like the "as berkeley says, there is no max drawdown if you don't look at the screen" insight, reminding the sipper that volatility can be tamed. Finally, the garnish of rosemary sprig hints at his ongoing curiosity in AI, echoing his tweet "will ai replace ai" and the ever‑evolving nature of models.

Your Hogwarts House
Umit’s timeline is dominated by a thirst for knowledge and analytical insight, which aligns with Ravenclaw’s value of wisdom. He frequently shares learning moments, e.g., "just learned about TimesNet: a general purpose DL approach for time series …" and "learning (a bit of) category theory granted me new perspectives on analyzing/designing abstractions". He also questions human cognition, as in "are humans good at i) time series forecasting, ii) understanding networks/topology?" and reflects on bias in "predictably wrong". His focus on explaining complex concepts, such as "key idea: do not attempt to learn communication skills before learning calculus", shows a prioritisation of intellect over status, making Ravenclaw the best fit.

Your movie

Your song
The user’s bio mentions a love for Sea Peoples and a deep focus on time‑series forecasting, as shown by the tweet "just learned about TimesNet: a general purpose DL approach for time series …". Their frequent updates about model performance ("my trading system is +158.8% up this year") and calls for adapting to rapid data shifts echo the song’s refrain that "the order is rapidly changing". The classic Bob Dylan track "The Times They Are A‑Changin’" is all about change over time and warning listeners to stay ahead, which mirrors the user’s habit of tracking market dynamics and forecasting future trends. Moreover, the lyric "Come gather ’round people wherever you roam" resonates with the user’s community‑building tweets about open‑source sponsorship and sharing research. In short, the song captures their fascination with change, history, and the relentless march of data‑driven insight.

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umitkaanusta
green: confident, yellow: guess, red: uncertain
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