SYS.RECORD 03 / EXPERIENCE

About Me

DATA SCIENTIST / ML ENGINEER

I build applied machine learning systems that solve real-world problems. My work sits at the intersection of ML systems, product thinking, and the music + data space.

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Data Scientist

Cotality

Sep 2025 – Present

Working across machine learning, forecasting, and data science to support analytical decision-making.
- PYTHON
- XGBOOST
- SQL
Machine Learning Researcher

UCI x Cotality

Jan 2025 – Jun 2025

Designed and delivered an end-to-end predictive ML system quantifying ZIP-level real estate market hotness. Awarded 1st Place at the 2025 UCI ICS Project Expo among 300+ participants.
- PYTHON
- XGBOOST
- SARIMA
- SQL
Data Science Intern

Procon Analytics

Jul 2024 – Aug 2025

Built predictive churn models and real-time dashboards; engineered a cross-platform customer identity system resolving 100K+ fragmented records.
- PYTHON
- SQL
- TABLEAU
- STREAMLIT
Data for Good Hackathon

J.P. Morgan Chase

Oct 2023

Built ML models to predict housing stability and deliver actionable insights for affordable housing solutions. Honorable Mention.
- PYTHON
- CLUSTERING

VIEW FULL EXPERIENCE →

1st Place — 2025 UCI ICS Project Expo

Built an ML solution for real estate market prediction.
Honorable Mention — JPMC Data for Good Hackathon

Built an ML solution for affordable housing stability prediction.
Dean's List — UCI

Recognized for academic excellence, 2023 – 2025.

Languages

Python
SQL
R
C++

ML / AI

XGBoost
SARIMA
Scikit-learn
TensorFlow
HDBSCAN
UMAP
K-Means
OpenAI Embeddings
SHAP

Data

PostgreSQL
Qdrant
Snowflake
BigQuery
Pandas
NumPy
Airflow
Spark

Tools / Platforms

Docker
FastAPI
Streamlit
Tableau
Looker
MLflow
Git
Next.js
Tailwind CSS
React Query

Building Spotify Atlas

Music intelligence platform with embeddings, clustering, and map-like UI.
Music & Data

Exploring taste profiles, listening patterns, and cultural signals in audio data.
DJ & Curator

Mixing sets and building playlists that bridge genres and moods.