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Rodrigo M.

Data Scientist · Entry-level

Rate on request

Professional Overview

I’m Rodrigo Lizaran Molina, a passionate machine learning enthusiast and avid gamer. I recently graduated from the University of California, San Diego (UCSD) with a degree in Cognitive Science, focusing on Machine Learning and Neural Computing. Originally from Spain, I moved to the United States eight years ago to pursue my academic and professional dreams, which have always been intertwined with a love for technology and a fascination with artificial intelligence.Before my time at UCSD, I completed multiple associate degrees in Physics, Mathematics, Economics, and Engineering and Technology at Pasadena City College. These diverse fields gave me a broad perspective and a deep appreciation for interdisciplinary approaches, which have shaped the way I approach complex problems in machine learning and data science today.I have developed skills in several programming languages, including Python, R, CSS, and HTML, and have experience with tools like Jupyter, Git, and various database management systems such as PostgreSQL and MongoDB. I've worked on projects that involve data analysis and visualization, focusing on energy production and CO2 emissions, and have also delved into research on DeepFake detection algorithms, which I presented as part of my coursework.I have always been passionate about video games, especially those with compelling narratives. I enjoy playing games both alone and with friends, and I often find myself dreaming about creating or enhancing games that provide memorable experiences. Although I haven’t yet created a game, the desire to do so has always been on my mind.I’m excited about the future and the opportunity to combine my technical skills with my passion for gaming and artificial intelligence. I believe there is immense potential in using AI to enhance gaming experiences, and I’m eager to be a part of that innovation.

Areas of Expertise

Computer Vision

Develop image recognition, object detection, video analysis, and multimodal AI systems for real-world applications.

AI & Machine Learning Engineers

Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.

Data Science & Analytics

Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.

Open to

Full Time

AI Expertise

Data Science Big Data Computer Vision Deep Learning ML (Machine Learning) AI & Machine Learning Engineers Data Science & Analytics Data Engineering & Big Data

Skills

Python SQL PyTorch programming leadership communication

Experience Level

Entry-level

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