Ashley Love

Technical Portfolio

Program-Specific Projects

High-Volume Sentiment Engineering

Modular, automated pipeline for distilling consumer polarity across 50,000 records using precision NLP and negation signal preservation.

Strategic Impact: Reduced feature dimensionality by 80% while achieving 89% predictive accuracy for high-stakes auditing.

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Applied Data Science I (DSC-450)

Technical implementation across the full data science lifecycle, focusing on database management and Python-driven analytical insights.

Strategic Impact: Automated data processing pipelines ensuring 100% data integrity for large-scale datasets.

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Fraud Detection

Isolation Forest model identifying 92% of fraudulent financial transactions.

Strategic Impact: Reduced annualized fraud losses by $1.2M.

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Sentiment Analysis (LSTM)

Neural Network achieving 88% F1 Score on unstructured review data.

Strategic Impact: Automated 70% of customer feedback triage.

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Retail DB Architecture

Relational schema design for complex Customer Lifetime Value analysis.

Strategic Impact: Optimized query performance by 45% for BI reporting.

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Housing Market EDA

Exploratory Data Analysis using Python to identify regional pricing trends.

Strategic Impact: Identified 3 high-growth investment zones.

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Customer Segmentation

K-Means clustering identifying distinct buyer personas for targeted marketing.

Strategic Impact: Increased marketing ROI by 22% via personalization.

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