Loris Emanuelli
Product DesignData Science
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Data Science

Forecasting, optimization, and applied ML projects

End-to-end analytics pipelines with clear evaluation, model comparisons, and reproducible workflows.

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2025 / UC Berkeley (IEOR 242A)

NBA Career Trajectory Prediction

Predict career length, survival, and awards from early-career data

MLClassificationRegressionForecasting
E-commerce analytics context

2025 / UC Berkeley Capstone 121

Operations-Driven Analytics in E-Commerce

Decision-focused forecasting for fulfillment and inventory

ForecastingOptimizationAnalyticsSupply Chain
Illustrative forecast chart (synthetic)

2025 / ENS Partnership (course project)

Electricity Price Forecasting (ENS Partnership)

Time-series forecasting for day-ahead price spreads

Time SeriesForecastingEnergyML
Keras predictions vs data

2025 / UC Berkeley (ME249)

First-Principles vs Keras Neural Networks

Benchmarking custom optimization against RMSprop

MLRegressionOptimizationScientific ML
PV training loss curve

2025 / UC Berkeley (ME249)

Custom Loss + PINN Heat Transfer

Physics-inspired training for PV and heat diffusion

PINNScientific MLHeat TransferRegression
Illustrative prediction fit (synthetic)

2025 / UC Berkeley (ME249)

Solar PV Modeling at High Flux

Extended-range power prediction with neural networks

RegressionEnergyML

Copyright 2026 Loris Emanuelli

Product design with a sports engineering angle.

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