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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

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Work

Treasury Yield Forecasting

01

Treasury Yield Regime Forecasting

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.

EPL NLP

02

EPL Transfer Narrative NLP

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.

Electricity Forecasting

03

Household Electricity Demand Forecasting

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

Telco Churn TabNet

04

Telco Churn — TabNet

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

Mall Analysis

05

California Mall Sales Analysis

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

UEFA Analysis

06

UEFA Champions League Analysis

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

Nvidia Analysis

07

Nvidia Financial & Strategic Analysis

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

OCTA Travel Forecast

08

OCTA Travel Demand Forecast

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.

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Awards

IDEAcorp 2026 Award

2026

1st Place — IDEAcorp MBA Consulting Challenge

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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IDEAcorp 2025 Award

2025

1st Place — IDEAcorp MBA Consulting Challenge

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.

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About

I'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

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Skills

Languages
PythonSQLRJavaScriptBash
ML / DL
PyTorchscikit-learnLSTMTransformer TabNetXGBoostHDBSCANMLxtend
NLP
BERTspaCyNLTKSentiment Analysis Network ScienceReddit API
Analytics
TableauPower BIAlteryxDask pandasNumPyArcGIS
Domain
Healthcare AnalyticsFinancial ModelingSports Analytics ConsultingUrban Planning
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Certifications

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Contact

Let's work
together.

Open to full-time roles, contract work, and interesting problems.

Download Resume
You'll Never Walk Alone