🟢 Open to work
Master’s student in Information Systems with experience in Python, SQL, data visualization, and AI model evaluation through research, academic projects, and professional work.
A collection of academic, research, and professional projects showcasing my experience in data analytics, artificial intelligence, machine learning, database development, and problem solving.
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Pfizer · ✅ Verified by Extern · ⏱️ In progress
Prototype AI-powered document intelligence with Pfizer—using OCR, LLMs, and RAG to automate real enterprise PDF workflows and build a standout portfolio project.
Dec 2026
Developing an end to end data warehousing and business intelligence project using Snowflake. Completed environment setup, source data exploration, business requirements analysis, and a Kimball bus matrix. Currently building a dimensional star schema, ETL processes, SCD2, and data quality checks. Fut
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TruBridge · Jun 2026 · ✅ Verified by Extern
A TruBridge externship on healthcare data analytics, focused on using public datasets and AI-assisted tools to analyze infections, outcomes, and access measures.
Jun 2026
Conducted exploratory data analysis (EDA) on county level CDC PLACES public health data using Python (Google Colab) to identify relationships between diabetes prevalence, healthcare access, and geographic disparities. Created Tableau visualizations and a Gamma presentation to communicate county leve
Apr 2026
Developed a Bidirectional LSTM model using TensorFlow/Keras for sentiment analysis on the IMDB dataset, achieving over 84%+ validation accuracy. Evaluated model performance using precision, recall, F1-score and ROC-AUC. Fine-tuned a pre-trained GPT-2 model using Hugging Face Transformers to generate
Mar 2026
Developed & trained a CNN using Python and TensorFlow/Keras to classify images across 10 categories in the CIFAR-10 dataset. Achieved over 86%+ validation accuracy through model optimization techniques including Batch Normalization and Dropout. Evaluated model performance using classification metric
Feb 2026
Designed and implemented a relational database system using MySQL to manage streaming platform data (movies, users, subscriptions, watchlists, etc). Developed a normalized schema from an Entity Relationship (ER) model supporting one-to-many and many-to-many relationships. Wrote and executed complex
Mar 2026
Developed a CGAN using Python, TensorFlow, and Keras to generate synthetic images of clothing items from the Fashion MNIST dataset. Designed and implemented both generator and discriminator models to learn and replicate image distributions across labeled classes. Preprocessed image data using normal
Master’s student in Information Systems with experience in Python, SQL, data visualization, and AI model evaluation through research, academic projects, and professional work.
I’m pursuing my M.S. in Information Systems at Nova Southeastern University, concentrating in AI Applications and Data Analytics. I also hold a B.S. in Civil Engineering from Western Kentucky University. My experience includes transportation research, healthcare data analytics, and evaluating AI-generated responses. I’ve worked with Python, SQL, Snowflake, Tableau, and machine learning tools through academic projects, research, and professional opportunities. I’m currently expanding my experience through graduate projects in data mining and data warehousing.
Externships
Pfizer Advanced: AI-Powered Document Insights & Data Extraction Externship
In progress
Experience
AI Trainer/Reviewer -Software Engineering/Coding Domain
Handshake AI Fellowship · 06/2026 – Present
Research Assistant
Transportation Engineering Research Lab · 01/2022 – 05/2023
Education
Nova Southeastern University
Master of Science in Information Systems · Class of 2027
Western Kentucky University
Bachelor of Science in Civil Engineering · Class of 2023
Skills
✅ Verified by Extern · ⏱️ In progress
Prototype AI-powered document intelligence with Pfizer—using OCR, LLMs, and RAG to automate real enterprise PDF workflows and build a standout portfolio project.
The work prototyped an AI-powered document-intelligence pipeline for enterprise PDF workflows, combining optical character recognition, retrieval-augmented generation, and large language models. The project analyzed model choices and integration points, and produced a functioning prototype that demonstrated automated data extraction from sample PDFs.
I reviewed a pharmaceutical sample file, catalogued document types and date formats, and identified OCR and NLP extraction risks including table misalignment, ambiguous date fields, and domain-specific abbreviations.
I reviewed a pharmaceutical sample file, catalogued document types and date formats, and identified OCR and NLP risks such as table misalignment, scanned pages, similar date-field ambiguity, and technical abbreviations that could hinder extraction.
Dec 2026
Developing an end to end data warehousing and business intelligence project using Snowflake. Completed environment setup, source data exploration, business requirements analysis, and a Kimball bus matrix. Currently building a dimensional star schema, ETL processes, SCD2, and data quality checks. Fut
Developing an end to end data warehousing and business intelligence project using Snowflake. Completed environment setup, source data exploration, business requirements analysis, and a Kimball bus matrix. Currently building a dimensional star schema, ETL processes, SCD2, and data quality checks. Future phases include analytical SQL, performance optimization, and Power BI semantic modeling.
✅ Verified by Extern
A TruBridge externship on healthcare data analytics, focused on using public datasets and AI-assisted tools to analyze infections, outcomes, and access measures.
The work investigated county-level diabetes and healthcare access using public sources, assembling and cleaning CDC PLACES records and related datasets, conducting exploratory and correlation analyses, and building interactive visualizations. The work was awarded Top Performer by TruBridge.
I produced cleaned, measure-specific subsets from CDC PLACES, performed EDA and correlation analysis on Tennessee county data, and delivered an AI-assisted interactive dashboard through Claude plus a recorded presentation in Gamma summarizing geographic disparities and findings.
Jun 2026
Conducted exploratory data analysis (EDA) on county level CDC PLACES public health data using Python (Google Colab) to identify relationships between diabetes prevalence, healthcare access, and geographic disparities. Created Tableau visualizations and a Gamma presentation to communicate county leve
Conducted exploratory data analysis (EDA) on county level CDC PLACES public health data using Python (Google Colab) to identify relationships between diabetes prevalence, healthcare access, and geographic disparities. Created Tableau visualizations and a Gamma presentation to communicate county level healthcare insights to non-technical audiences. Developed an interactive Claude Artifact dashboard
Apr 2026
Developed a Bidirectional LSTM model using TensorFlow/Keras for sentiment analysis on the IMDB dataset, achieving over 84%+ validation accuracy. Evaluated model performance using precision, recall, F1-score and ROC-AUC. Fine-tuned a pre-trained GPT-2 model using Hugging Face Transformers to generate
Developed a Bidirectional LSTM model using TensorFlow/Keras for sentiment analysis on the IMDB dataset, achieving over 84%+ validation accuracy. Evaluated model performance using precision, recall, F1-score and ROC-AUC. Fine-tuned a pre-trained GPT-2 model using Hugging Face Transformers to generate synthetic text data, applying tokenization and sequence padding for preprocessing.
Mar 2026
Developed & trained a CNN using Python and TensorFlow/Keras to classify images across 10 categories in the CIFAR-10 dataset. Achieved over 86%+ validation accuracy through model optimization techniques including Batch Normalization and Dropout. Evaluated model performance using classification metric
Developed & trained a CNN using Python and TensorFlow/Keras to classify images across 10 categories in the CIFAR-10 dataset. Achieved over 86%+ validation accuracy through model optimization techniques including Batch Normalization and Dropout. Evaluated model performance using classification metrics such as precision and analyzed misclassified images to interpret prediction errors.
Feb 2026
Designed and implemented a relational database system using MySQL to manage streaming platform data (movies, users, subscriptions, watchlists, etc). Developed a normalized schema from an Entity Relationship (ER) model supporting one-to-many and many-to-many relationships. Wrote and executed complex
Designed and implemented a relational database system using MySQL to manage streaming platform data (movies, users, subscriptions, watchlists, etc). Developed a normalized schema from an Entity Relationship (ER) model supporting one-to-many and many-to-many relationships. Wrote and executed complex SQL queries (multi-table joins, aggregate functions, subqueries, GroupBy, Having).
Mar 2026
Developed a CGAN using Python, TensorFlow, and Keras to generate synthetic images of clothing items from the Fashion MNIST dataset. Designed and implemented both generator and discriminator models to learn and replicate image distributions across labeled classes. Preprocessed image data using normal
Developed a CGAN using Python, TensorFlow, and Keras to generate synthetic images of clothing items from the Fashion MNIST dataset. Designed and implemented both generator and discriminator models to learn and replicate image distributions across labeled classes. Preprocessed image data using normalization and one hot encoding to prepare inputs for model training.
