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Antonio Honorato

Quantitative Analytics Intern @Itaú Asset Management

São Paulo, BR
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Jan 2026 — Present

Quantitative Analytics Intern @Itaú Asset Management

Sao Paulo, BR

EDUCATION

N/A

Insper Instituto de Ensino e Pesquisa

Ciência da Computação

2016 — 2019

Organização Educacional Farias Brito

Ensino Médio

ABOUT ANTONIO HONORATO

Computer Science undergraduate at Insper, currently in 4th semester — GPA 9.05/10 (Ranked 2nd in my class)Currently, I work as a Quantitative Analytics & Solutions Intern at Itaú Asset, where I apply mathematics, programming, and data analysis to support investment strategies and decision-making. Technical Stack:Languages: Python, Java, C, TypeScript, JavaScript, SQL, NoSQLBack-End: FastAPI, Flask, Spring Boot.Front-End: Next.js, React.Data & AI: LangChain (LLM applications), Machine Learning, Web Scraping.Database: PostgreSQL, MongoDB DevOps: Docker, CI/CDBefore starting university, I earned distinctions in several national science olympiads, including OBF (Brazilian Physics Olympiad), OBB (Brazilian Biology Olympiad), and ONC (National Science Olympiad), among others. I was also admitted to highly competitive institutions such as Insper, Inteli, UFC, UECE, and EsPCEx, and advanced to the first phase of the ITA and IME entrance exams. These experiences strengthened my logical reasoning, complex problem-solving abilities, and commitment to continuous learning.At Insper, I have actively pursued both technical and leadership challenges. I earned 3rd place at the Edge AI Hackathon 2025 (Qualcomm + New Hack), developing applied AI solutions. I was awarded a CAPES scholarship through the PROEXT-PG program, working as a research assistant at Insper Metricis. Additionally, I served as a Teaching Assistant for Calculus I and II. As a member of Insper Code, I contributed as a Software Engineer and later as a Project Manager, leading technical teams and coordinating development initiatives.I am particularly interested in the intersection of mathematics and technology — especially artificial intelligence, data structures & algorithms, and software engineering — and in leveraging rigorous logical reasoning to design scalable solutions to complex real-world problems.

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