Olivia Stefany - Data Scientist & ML Engineer Portfolio

Hey There, I'm Olivia

Machine Learning & AI | Data Scientist | Statistics & Analytics

Available for Remote Opportunities & Freelance Projects

About Me

Data isn't just numbers to me. It's a window to smarter decisions and new opportunities. I uncover the hidden stories in every dataset, turn complexity into clarity, and create insights that drive real impact.

As an ML & AI Engineer with expertise in Python, Machine Learning, Deep Learning, and Statistical Analysis, I combine technical skills with business acumen to deliver data-driven solutions. I'm passionate about leveraging AI to solve real-world problems and continuously learning new technologies.

Curious, proactive, and driven, I'm ready to help you achieve your goals and make your vision a reality. Let's turn data into strategies, solutions, and results that make a difference.

Education

Bachelor of Science

Zhejiang University of Science and Technology

Major: Data Science and Big Data Technology

Work Experience

Associate ML Engineer

Causalmind | Causal Discovery & AI Research

September 2025 - Present

Working on cutting-edge research to build an LLM-driven causal graph discovery system that combines Large Language Models with graph databases for automated causal relationship identification.

Developed an automated causal discovery system using Ollama LLMs and Neo4j, achieving 100% precision, 91.67% recall, and 95.65% F1 score, optimizing graph matching accuracy
Designed and implemented loop prevention algorithms, reducing infinite loop occurrences by 90% and improving system reliability
Engineered a hybrid causal discovery approach, combining BIC scoring and PC algorithm with LLM-based reasoning, significantly enhancing causal inference accuracy
Containerized applications with Docker and deployed on the cloud to ensure scalability and high-performance reliability
Built and maintained RESTful APIs in Python for various applications
Produced detailed technical documentation and executive summaries, effectively communicating the business value of automated causal analysis to both technical and non-technical stakeholders
Implemented semantic validation systems to improve agent reliability and prevent logical inconsistencies

Python LLM (Ollama) Neo4j Machine Learning Causal Inference Graph Databases Azure Docker REST API

Certifications

Data Scientist

Kelas.com

Certificate ID: CERT-13B86355

Verify Certificate

Featured Projects

Smart Finance Budgeting System

Python Time Series Forecasting Streamlit Prophet Plotly

Built a multi-user personal finance dashboard with bcrypt auth, SQLite storage, 30-day Prophet spending forecasts, budgeting insights, and multi-currency conversion (real-time + offline). Built with Streamlit + Plotly.

GitHub Live Demo

Brain CT scan showing tumor classification

Detect & Diagnose: Brain Tumor Classification with AI

Python TensorFlow CNN Deep Learning

A deep learning project using CNNs and transfer learning to classify brain CT scans, identifying tumor types or normal brains, helping accelarete and improve diagnostic accuracy.

View Project

Credit card approval prediction visualization

Predicting Credit Card Approval

Python Scikit-learn Classification

Machine learning models to predict credit card approval based on applicant data such as income, credit score, and employment history, helping automate decisions and improve accuracy.

View Project

Technical Skills

Python and Programming

80%

Databases & Querying (SQL)

70%

Data Wrangling

90%

Machine Learning

85%

Deep Learning and AI

80%

Statistics and Math

90%

Data Visualization

80%

Neo4j & Graph Databases

75%