Alexandra Lugo

Data Scientist Who Speaks Human

Turning complex data into decisions people actually use.
Technical + Communicative + Business-Aware

About Me

Hey there! I'm Alexandra, a Data Science student at NYU (graduating May 2026) who loves finding the story hidden in the numbers. Unlike the stereotypical "data scientist stuck in a cubicle," I thrive in roles where I can collaborate across teams, communicate insights to non-technical stakeholders, and drive business impact.

What makes me different? I'm a technical translator. I can build ML models and wrangle messy datasets, but I'm equally comfortable presenting findings to executives or working directly with clients to solve their problems. My background spans enterprise data governance at Sallie Mae, AI model development, and real estate analytics—all united by a passion for making data accessible and actionable.

I'm fluent in English and Spanish, conversational in Mandarin, and always eager to learn. When I'm not diving into datasets, you'll find me working as a Special Events Assistant for NYU Athletics (yes, I analyze ticket sales and fan engagement data there too!).

What I'm looking for: Client-facing analytics roles, product data science, technical consulting, or any position where I can blend technical depth with business strategy and human connection.

Featured Projects

Real-world data science work that drives business decisions

Streaming vs. Theatrical Analytics

Tableau Dashboard API Integration Business Strategy

End-to-end analytics pipeline analyzing 530 films (2019-2024) using TMDb API, SQL, and Tableau. Discovered Action films achieve 2,437% ROI theatrical-only, while Crime films gain 582% from streaming releases.

Impact: Insights could inform $10-50M release windowing strategies for major studios. View Live Dashboard →

Regional Music DNA

Data Pipeline API Integration Geospatial

Analyzed regional music preferences across major US cities by integrating Spotify Web API, Last.fm API, and US Census data to identify geographic patterns in musical taste.

Impact: Enables hyper-local marketing strategies for streaming platforms and concert promoters.

Sallie Mae Data Governance
Enterprise Work

Enterprise Data Governance @ Sallie Mae

Cross-Functional API Integration Fortune 500

Supported Chief Data Office in implementing enterprise-wide data governance initiatives. Built Python API integrations and enhanced metadata accuracy in Alation.

Impact: Strengthened data accessibility and decision-making across the organization.

GA4 E-Commerce Business Insights

SQL Analysis BigQuery Customer Analytics

SQL-based analysis of Google Analytics 4 e-commerce data (270K users, $362K revenue) uncovering critical retention crisis: 93.6% customer churn after first purchase. Analyzed cohort behavior, marketing attribution, and revenue drivers to deliver actionable recommendations.

Impact: Identified $17.7K+ revenue recovery opportunity through Month 1 re-engagement campaigns and optimized marketing channel allocation.

Cookie Cats: A/B Test Analysis

A/B Testing R Programming Statistical Analysis

Analyzed 90K mobile game players to test gate placement impact on retention (Day 1: 44.8% vs 44.2%, Day 7: 19.0% vs 18.2%). Used bootstrapping and statistical testing in R to determine optimal player experience strategy.

Impact: Provided data-driven recommendation on feature placement affecting user retention. View Full Analysis →

Image Classifier with Transfer Learning

Deep Learning Computer Vision AWS

Built image classification model using transfer learning (ResNet18 & VGG13) to classify 102 flower species with 60%+ accuracy. AWS Scholarship project.

Skills: PyTorch, Transfer Learning, GPU Optimization.

Skills & Tools

I'm not just a tool collector—I use these skills to solve real business problems

Data Analysis & Visualization

  • Python (Pandas, NumPy, Matplotlib, Seaborn)
  • SQL & Data Warehousing (Snowflake)
  • BI Tools (Tableau, PowerBI, Looker)
  • Statistical Analysis (A/B testing, regression)

Machine Learning & AI

  • ML Frameworks (Scikit-Learn, TensorFlow, PyTorch)
  • Techniques (Classification, clustering, deep learning)
  • AI Development (LLM customization, transfer learning)
  • Specialties (Image classification, NLP)

Cloud & Data Engineering

  • Cloud Platforms (AWS, Google Cloud Platform)
  • Data Tools (Alation, dbt, API integration)
  • Version Control (Git, GitHub)
  • Programming (Python, R, Java, SQL)

Collaboration & Communication

  • Stakeholder Management
  • Cross-Functional Teamwork
  • Data Storytelling
  • Languages (English, Spanish, Mandarin)

Certifications

Google Data Analytics Professional Certificate AWS Machine Learning Scholarship

Let's Connect

I'm actively seeking client-facing analytics, product data science, technical consulting, or cross-functional data roles starting Summer/Fall 2026.