____ _ _ _ _____ _____ | _ \ / \ | \ | |_ _| ____| | | | |/ _ \ | \| | | | | _| | |_| / ___ \| |\ | | | | |___ |____/_/ \_\_| \_| |_| |_____|Shoghanian
M.S. Business Analytics — building ML systems at the intersection of data, strategy, and domain expertise.
Open to full-time roles in Los Angeles / remote
Featured Project
Why does the same surgery cost 10× more across the street?
Built an ML pipeline to surface the hidden drivers behind U.S. hospital pricing variability. Integrated hospital and procedure-level datasets across regions, insurance types, and patient demographics. Models (Naïve Bayes, SVM, HDBSCAN, Association Rules) identify pricing clusters and outliers — turning opaque billing data into actionable policy insights.
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01
Regime-aware neural networks (FNN, CNN, LSTM, Transformer) forecasting the 10-Year U.S. Treasury yield using macroeconomic, market, and Fed policy data across a decade. Includes shock simulations and feature importance analysis.

02
NLP + network science on Premier League transfer press coverage and Reddit discourse from 2016–2025. Quantifies how hype independently predicts competitive outcomes beyond financial spend alone.

03
PyTorch LSTM forecasting daily household electricity consumption from multi-year power usage data structured as supervised learning sequences. Evaluated on RMSE, MAE, and R².

04
End-to-end replication of TabNet (Google AI) benchmarked against XGBoost and sklearn on telecom churn prediction. Highlights interpretable attention mechanisms on tabular data.

05
Regression and spatial analysis of California mall sales performance, identifying demographic and location drivers to help operators optimize marketing strategy and profitability.

06
Historical pattern analysis of 68 years of Champions League data (1955–2023), surfacing trends in match performance, team dominance cycles, and final-stage outcomes.

07
Comprehensive analysis of Nvidia's strategic position — supply chain, GPU/AI market dynamics, competitive moat, and DCF-based financial forecasts with pro forma modeling.

08
GIS and transportation modeling for the Orange County Transportation Authority — analyzing population growth, traffic flow, and bikeway usage to support infrastructure and land-use planning.
2026
Awarded top prize in a national MBA consulting competition during New Orleans Entrepreneur Week. Partnered with AutoDive to design an 18-month strategy accelerating adoption of autonomous aquaculture systems, reducing farmer risk, labor dependency, and operational uncertainty.
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2025
Awarded $5,000 as top MBA team in a national consulting competition. Led go-to-market strategy for Tipzy, an AI-driven DJ platform enhancing in-venue engagement. Helped secure $20,000 in non-dilutive funding for the client.
View PresentationI'm a data scientist and analyst completing my M.S. in Business Analytics at Loyola Marymount University. I build systems that translate messy, real-world data into decisions people can actually act on.
My work spans machine learning, NLP, deep learning, and financial modeling — with a consistent focus on domains where the stakes are high: healthcare, finance, and infrastructure. I think carefully about what a model is actually saying before I report what it found.
Outside the code, I'm a football obsessive (YNWA), a Formula 1 tactics nerd, and someone who thinks the best analytics work starts with a genuinely interesting question.
Currently
M.S. Business Analytics
Loyola Marymount University
Location
Los Angeles, CA
Open to
Full-time & contract roles
On-site, hybrid, or remote
Interests
Football · Formula 1
Healthcare · Finance
Google / Coursera
Tableau / Salesforce
DataCamp
Duke University / Coursera
DataCamp
DataCamp
Alteryx
Open to full-time roles, contract work, and interesting problems.
Download Resume