Data Analyst AI-Driven
Welcome to my portfolio. I am a Junior Data Scientist with Healthcare Domain Expertise and experience developing AI-driven solutions in both healthcare and banking environments. My work focuses on transforming complex data into actionable insights through machine learning, deep learning, and business analytics. With a background in healthcare and health informatics, I am passionate about improving decision-making, optimizing workflows, and developing intelligent solutions that create measurable impact.
About Me
Passionate about epidemiology, health informatics and artificial intelligence. 10 years of experience dedicated to leveraging data, technology, and analytical thinking to improve healthcare delivery and public health outcomes.
With a strong foundation in data analysis, currently merging skills in machine learning, deep learning, and AI-driven solution design to transform complex data into actionable insights.
Currently pursuing a postgraduate in Applied AI Solutions Development. I am committed to developing intelligent solutions that enhance decision-making, optimize workflows, and create meaningful impact across healthcare and other industries.
Experience
Epidemiology Health informatician
Clinical Project Student
Toronto, Canada October 2025 - april 2026
Data analytics: Tableau. Power BI
Productivity: MS Excel, EPIC data manager
- Performed data migration of Electronic Health Records from desk to EPIC of 3000 patient demonstrating workflow audit and methodical implementation planning. Developed data analysis of findings and monitoring. Collaborating with health informatic nurses to instruct health care professionals in the process to transit from old system to EPIC
Epidemiologist
Valle of Cauca - Public Health State | 2016– 2024
Data analytics: RStudio, Stata 14, Tableau. Power BI
Productivity: MS Excel, MS Visio, MS PowerPoint
Project management: MS Project, Jira.
- Conducted extensive research on disease patterns and risk factors, contributing to the development of effective intervention strategies. Implemented data management systems to improve health information exchange and decision-making processes.
Professor
University of Valley | 2022
Data analytics: RStudio, Stata 14, MS Excel
- Compassionate and innovative professor of the MsC of Epidemiology, instructing in the course of applied statistics solutions to the public health
Education
Diplomas Transcrip
Health Informatics Postgraduate Certificate 2025
Master's Degree in Epidemiology 2016-2019
Bachelor of Science in Nursing 2019-2015
Key Achievements
Work samples
Outstanding prototyping and Business analysis requirements
Received recognition of creative and user-friendly development of Check-in Kiosk on Balsamiq and Figma
Balsamiq - Download
BankChat – AI Banking Assistant
Developed and evaluated a custom BERT-based Named Entity Recognition model to extract financial entities from banking conversations, performing exploratory data analysis (EDA) and achieving an F1-score of 85.7% on a 105-message evaluation dataset. The project included BERT-NER, RAG, and LLM technologies
FraudGuard – Credit Card Fraud Detection Using Deep Learning
Designed and evaluated LSTM, GRU, and BiLSTM models on 590K+ credit card transactions, applying feature engineering, class imbalance handling, and sequence modeling to achieve an AUC-ROC above 0.83 for fraud detection.
Contact
Get in Touch
For inquiries, collaborations, or to learn more about my professional journey and contributions to epidemiology, health informatics, and banking AI solutions feel free to reach out.
Email: dipa.moreno@gmail.com
