Alexis Aguilar Email and Phone Number

As a highly skilled Data Scientist and Full Stack Software Engineer, I bring over three years of hands-on experience in developing and deploying web applications, machine learning models, and data visualization tools. My journey began with a robust academic foundation in Data Science, complemented by a minor in Computer Science from the University of North Texas, where I am set to graduate in May 2025.In my current role as a Freelance Full Stack Software Engineer, I have successfully driven client satisfaction and operational efficiency through innovative solutions. Notably, I developed and deployed machine learning models that enhanced client operational efficiency by 40%, and solved industry-specific challenges across finance, healthcare, and retail sectors, resulting in a 25% increase in client satisfaction ratings.During my tenure as a Data Science Intern at AT&T, I engineered advanced predictive models that optimized marketing strategies and increased campaign ROI by 45%. I also played a pivotal role in data cleaning, preprocessing, and conducting user training sessions on data analysis tools and best practices.I am proficient in a variety of programming languages including Python, R, SQL, JavaScript, HTML/CSS, C++, Rust, and Java. My technical arsenal is further enhanced with expertise in libraries and machine learning tools such as Scikit-Learn, TensorFlow, Keras, and visualization tools like Matplotlib and Seaborn. My experience extends to cloud platforms like AWS and GCP, and web development frameworks including Flask, Django, and React.My passion for data science is further reflected in personal projects like developing a fraud detection system that achieved a 95% accuracy rate, and creating an NLP model for sentiment analysis that improved sentiment prediction accuracy by 25%.I am eager to leverage my technical skills and practical experience to contribute to the success of a forward-thinking organizations. My goal is to continue growing as a data scientist while driving impactful, data-driven decisions that enhance business outcomes. I thrive in collaborative environments and am excited about the opportunity to support and innovate within a dynamic team.