Open to Data Science, AI, and Business Intelligence roles

Hi, I’m Manuela Lozano 👋

Data Scientist • AI Engineer • Business Intelligence

I enjoy building data products that combine statistical rigor with practical business impact, from forecasting pipelines to AI-powered applications.

I’m a UCLA graduate in Statistics & Data Science and Economics, a former Business Intelligence Engineer Intern at AWS, and an incoming M.S. Statistics student at the University of Washington.

View Projects Resume GitHub Contact

Featured Projects

AI Investment Education Assistant

LLMs RAG Python FinTech

Built an AI-powered investment education assistant using retrieval-augmented generation and vector search to support client onboarding and financial education.

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Click-Through Rate Prediction

Python CatBoost Machine Learning Imbalanced Data

Modeled 6M+ advertising interactions and improved ROC-AUC from 0.71 to 0.81 using feature engineering and class imbalance strategies.

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UFO Political Alignment Analysis

NLP Poisson Regression R Statistics

Analyzed 140K+ UFO sighting reports using NLP and statistical modeling to explore geographic and sociopolitical reporting patterns.

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Impact Snapshot

6M+

Advertising interactions modeled

140K+

Text reports analyzed with NLP

80%

Forecasting accuracy achieved at AWS

Tech Stack

Languages: Python, SQL, R
Machine Learning: Regression, Classification, NLP, Forecasting, Feature Engineering, Time Series
AI & LLMs: RAG, Vector Search, Prompt Engineering, Agentic AI
Data & Cloud: AWS, QuickSight, Tableau, Redash
Tools: GitHub, Jupyter Notebook, Quarto