Hi, my name is

Ariana

ML Engineer, Musician, and Data Scientist

MSc student in Sound & Music Computing at UPF’s Music Technology Group, focused on music perception, machine learning applications for sound and music information retrieval.

About Me

I’m a machine learning engineer, musician, and creative problem-solver passionate about developing transformative technologies in the field of music. I’m currently pursuing a master’s in Sound and Music Computing at Universitat Pompeu Fabra, building on my machine learning foundation from Cornell University to explore state-of-the-art music information retrieval methods.

My research focuses on how the brain encodes music and how musical enculturation shapes perception and preferences. I also work on exploring machine learning methods for intuitive musical data management. I aim to build technologies that contribute to a more intuitive, ethical and equitable landscape for artist discoverability.

With +4 yrs of professional experience in corporate financial modeling and advanced analytics at Goldman Sachs, I built strong technical expertise in Python, SQL, and data visualization, as well as business acumen to navigate complex stakeholder, and legal environments.

I’m also a performing musician with experience in studio production, live performance, composition, and arrangement across genres. This dual perspective fuels my drive to contribute meaningfully to the field of music information retrieval research.

Here are a few technologies I work with:
  • Programming & Data Analysis: Python, Excel, SQL, Tableau, Qliksense, Alteryx, Matplotlib
  • Machine Learning: Pytorch, scikit-learn, TensorFlow, Librosa, Essentia
  • Data Analysis: NumPy, Pandas, SciPy
  • Music & Audio Tools: LogicPro, GarageBand, MIDI Plug-ins, Melodyne
  • Instruments: Piano, Voice, Ukulele, and Advanced Music Theory

Experience

Musitopia Intern - Universitat Pompeu Fabra
Jan 2026 - Present
At a startup focused on serving music therapists, I implemented generative AI models for music and guided meditation content, designed interactive virtual instruments using signal processing and music information retrieval, enhanced music recommendation algorithms with musical and user engagement features, and contributed to shaping the company’s forward business strategy.
Wealth Management Finance and Strategy Associate - Goldman Sachs
Jun 2023 - Jun 2025
Designed predictive models to optimize resource allocation and operational efficiency leveraging advanced data analysis. Automated data pipelines for metadata management, improving data quality and the delivery of management reports.
Corporate Treasury Entity Structure and Strategy Analyst
Jul 2021 - Jun 2023
Led research and developed frameworks to evaluate and scale complex global systems within regulatory compliance. Synthesized technical findings for senior stakeholders on strategic M&A and business efficiency initiatives. Negotiated funding utilization limits between the revenue-generating and liquidity risk functional leadership teams.
Corporate Treasury Asset Liability Management Summer Analyst
5 Weeks (Jul 2020 - Aug 2020
Analyzed funding data through macro attribution to monitor maturity transformation’s impact on the firmwide profit and loss. Enhanced monthly reporting on liquidity metrics to deliver more informative and intuitive management reporting.
Resident Assistant - MSU
(3 Semesters) Fall 2019 - Fall 2020
Supported a community of 45 upperclassmen and graduate residents by organizing transition-focused programming and ensuring a safe, well-managed living environment through extensive on-duty and front-desk service.
Leadership Ambassador
(6 Semesters) Fall 2018 - Spring 2021
Facilitated leadership development through workshops and programs, managed and promoted a university-wide event calendar and social media content, and co-produced a leadership podcast reaching 571 listeners across 12 countries.
Bank Teller Intern - Southern First Bank
(3 Months) Jun 2019 - Aug 2019
Delivered outstanding customer service while managing diverse transaction banking needs, including high-volume business cash deposits, and ensured compliance with BSA regulations to safeguard clients’ financial information.

Education

2025 - Expected Graduation 2027
MSc in Sound and Music Computation
Universitat Pompeu Fabra
Fall 2024
Graduate Certificate in Machine Learning
Cornell University
Featured Projects
Fall 2017 - Spring 2021
BSc in Business Administration, Concentration in Finance
Montclair State University
GPA: 3.9 out of 4.0 - Dean's List
Fall 2013-2017
High School
Randolph High School
GPA: 3.8 out of 4.0

Creative Projects

Aevina the Ukulelian
Vocalist Co-Composer Producer
Aevina the Ukulelian
Producer, co-composer and arranger on an experimental singer-songwriter brand, blending musical storytelling with existential themes.
Spotify
Paid Time Off
Vocalist Pop Punk Band NYC
Paid Time Off
Background vocalist for a pop punk band, performing live across NYC and NJ as well as in-studio recordings.
Mark Bankin Dance Company
Producer Modern Expressionist Dance NYC
Mark Bankin Dance Company
Producer for a post-modern dance company performance series, blending modern expressionist vocabulary and experimental storytelling
Horse Girl
Free Lance Background Vocalist / Musician / Producer
Vocalist Musician Producer
Free Lance Background Vocalist / Musician / Producer
5+ years’ experience recording, co-writing, and performing with label producers and songwriters (of Def Jam studios and Oliver Studios) and indie artists for streaming releases and live performances at top NYC venues (The Delancey, The Music Inn, GreenSpace Studios, etc.)
SoundBetter

GitHub Projects

ML Song Segmentation Classification
Python Machine Learning Music Information Retrieval
ML Song Segmentation Classification
An analysis of different Machine Learning algorithms used for song segmentation classification.
Repo
UPF ML for Sound and Music
Python Machine Learning Music Information Retrieval
UPF ML for Sound and Music
Experiments with different ML algorithms to perform genre classification; written and run on publically available datasets (MagnaTagATune) for the Master's Program in Sound and Music Computing at Universitat Pompeu Fabra in Barcelona, Spain.
Repo
Songify
Python Generative AI Music Information Retrieval
Songify
A generative music system for adding accompaniment to voice, particularly for spoken word, developed during the Generative Music AI Workshop (2025) in the Music Technology Group at Universitat Pompeu Fabreu in Barcelona.
Repo
Cornell ML for Data Science
Python Machine Learning Data Science
Cornell ML for Data Science
Over the course of 14-weeks, I completed 7 python-based projects to demonstrate command of machine learning concepts.
Repo
SigMA IDyOMpy
Python Machine Learning Musical Perception
SigMA IDyOMpy
Exploring the python implementation of IDyOM by Guilhem Marion to be used in a project about cortical encoding of musical surprisal.
Repo

Research Experience

Signal Processing Mentorship Academy of IEEE - Mentee Researcher
Investingating the neural encoding of musical surprisal through stastical modeling to be presented at ICASSP 2027
DCASE 2025 - Detection and Classification of Acoustic Scenes and Events - Organizing Committee
Attended lectures and poster sessions by pioneers in the field of acoustical detection and facilitated registration.
2025 ACM Europe School on Recommender Systems - Student Participant
Developed case study for a recipe recommendation system, reflecting on lecture topics covered both algorithmic and ethical.
UPF Generative AI Music Workshop - 2025
Constructed an AI application to generate piano accompaniments for speech audio.

Get in Touch

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