Yanni Aguilar
Data Platforms & Analytics @ Elevance Health
United States
Atlanta
Computer Software
Scikit-Learn, Trading Strategies, Prediction Markets, Pandas (Software), Artificial Intelligence (AI), Programming Languages, NumPy, Presentations, Exoplanet Research, GitHub, Modeling Languages, Variation Reduction, Financial Intelligence, JavaScript Libraries, Optimization Models, React.js, Data Science, JavaScript Frameworks, C++, Tutoring
Experience

Undergraduate Research Intern
• Analyze light curve data from NASA’s Transiting Exoplanet Survey Satellite (TESS) using MAST archives to identify 80+ potential exoplanet candidates by detecting periodic dips in stellar brightness • Developed a light curve preprocessing pipeline integrating NumPy, Pandas, and Matplotlib to normalize flux data, remove outliers, and enhance transit signal clarity, increasing confirmed candidate detection accuracy from 78% to 91% during internal testing • Collaborate with a research team to resolve 100+ ambiguous detections, cross-referencing with SIMBAD and ExoFOP databases to confirm stellar characteristics and eliminate false positives • Refined detrending algorithms to reduce stellar variability noise by 35%, boosting transit signal-to-noise ratios and improving detection sensitivity for small-radius exoplanets

Tutor at SMART Center
Kennesaw, Georgia, United States
• Provide individualized tutoring and academic support to more than 50 undergraduate students in Calculus, Linear Algebra, and Object-Oriented Programming • Adapt teaching strategies to accommodate diverse learning styles, fostering increased confidence and academic performance through personalized problem-solving practice • Collaborate with faculty and fellow tutors to ensure alignment with course objectives and maintain a supportive learning environment

AI Club Member
• Worked alongside 30 peers to explore real-world applications of artificial intelligence by attending and planning more than 25 hands-on workshops, speaker events, and coding challenges • Help organize and participate in project showcases and hackathons that highlight member-led projects in computer vision, finance, and AI ethics, fostering campus-wide engagement among students interested in artificial intelligence and coding • Promote interdisciplinary engagement by helping to present inclusive AI presentations designed to make technical topics accessible to over 50 students from a variety of academic backgrounds, encouraging collaboration between students from non-technical backgrounds interested in the societal impact and applications of AI
Education
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