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yousif Alsaffar

@yalsaffar

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Motivated student passionate about computer science and data science.

Spain

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What I'm looking for

Seeking a role that leverages my skills in computer science and data science to drive innovation and create impactful solutions.

I'm a driven and innovative individual with a strong passion for computer science and data science. With a proven track record of winning technology competitions, I'm committed to creating impactful solutions. I'm a resilient and efficient individual with experience in high-pressure environments.

As a student at IE University, I've had the opportunity to develop my skills in computer science and artificial intelligence. I've excelled in various subjects, including reinforcement learning, computer vision, and natural language processing. I'm also proficient in a range of programming languages and tools, including Python, ML Tools, SQL, and more.

Through my experiences, I've developed strong skills in resource management, teamwork, and leadership. I'm excited to bring my skills and passion to a new role and continue to innovate and create impactful solutions.

Experience

International Quant Championship Finalist

WorldQuant

May 2023 - Dec 2023 (7 months)

In the International Quant Championship, I developed advanced AI models, including reinforcement agents and semantic search models, to create quantitative financial expressions (alphas). These captured market patterns and trends, blending machine learning and financial analysis. Our team generated over 90 alphas, ranking 5th globally, 2nd in Europe, and among the top 12 teams internationally.

Finance Data Science Machine Learning Quantitative Finance Quantitative Research Reinforcement Learning Natural Language Processing Natural Language Generation

Artificial Intelligence Internship

Molnix

Jan 2022 - Apr 2022 (3 months)

During my internship at Molnix, I focused on NLP and transformer models like BERT. I conducted data analysis, developed NLP algorithms, and designed an OCR tool to improve ingestion. I also built a Python microservice with SpaCy, NLTK, and Flask, reducing processing time by 40% and increasing accuracy by 25%, significantly enhancing efficiency and my NLP skills.

NLP Large Language Models Data Processing