Patricia Ainembabazi
@patriciaainembabazi1
Data Scientist using Python, SQL, and ML to build AI systems—seeking fully remote roles.
What I'm looking for
I’m a Data Scientist with hands-on experience building end-to-end data and AI systems using Python, SQL, and modern machine learning. I use data wrangling, feature engineering, NLP, and applied machine learning to drive insight, automation, and intelligent decision-making.
In projects like Themis AI, I collected, cleaned, and structured large legal datasets, designed scalable PostgreSQL schemas, and developed RESTful APIs with Django—adding real-time transcription and automated case summarisation. I’ve also built an autonomous travel intelligence system using semantic search with pgvector and multi-agent reasoning, and delivered production-ready interfaces with Streamlit and FastAPI/Django REST Framework patterns, alongside dataset-focused work like StackOverflow feature engineering and IMDB 50K review sentiment classification.
Experience
Work history, roles, and key accomplishments
Data Scientist – Travel Planner
ThemisAgentic Travel Planner
Developed an autonomous travel intelligence system that generates personalised itineraries from large-scale web data. Implemented web-crawling and cleaning pipelines, embedding-based semantic search with pgvector, and a multi-agent reasoning approach, delivering a production-ready Streamlit interface.
Data Scientist – Themis AI
Themis AI
Built an AI-driven judicial support platform by collecting, cleaning, and structuring large legal datasets with confidentiality in mind. Developed scalable PostgreSQL schemas and Django RESTful APIs, integrating real-time transcription with automated case summarisation and performing validation under high data volumes.
Sentiment Analysis Data Scientist
StackOverflow Colab IMDB
Built a sentiment analysis pipeline by preprocessing and analysing 50K IMDB movie reviews for classification. Conducted exploratory text analysis, trained Scikit-learn models, and evaluated performance using precision, recall, and F1-score.
Feature Engineering Data Scientist
StackOverflow Dataset Analysis
Performed feature engineering on large categorical datasets to uncover trends and improve downstream model performance. Cleaned data, handled missing values, reduced high-cardinality features, and communicated results via visualisations while documenting workflows.
Education
Degrees, certifications, and relevant coursework
Patricia hasn't added their education
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