TRACEE HATCHER

Recent graduate and innovative Data Scientist with a strong foundation in data analysis, machine learning, and visualization. Passionate about leveraging data to enhance decision-making in the public sector. Skilled at applying data science principles to optimize government operations, improve transparency, and strengthen security measures. Adept at collaborating across teams to design and execute impactful data-driven strategies tailored to public need

PROJECTS & INITIATIVES

• Fraud Detection Model for Procurement (2024): Leveraged the USA Spending dataset to identify anomalies in federal contract awards. Built and deployed an Isolation Forest model to detect potential procurement fraud, highlighting unusual patterns in award amounts and recipient frequencies. Results were visualized using Python libraries and presented in a Jupyter Notebook.
• Cybersecurity Incident Prediction (2024): Developed a phishing detection model using the Phishing Websites Dataset. Trained a Random Forest classifier to identify phishing URLs based on suspicious features such as URL length and special characters, achieving high accuracy. Results included feature importance visualizations and a confusion matrix for performance evaluation.

Professional Development: Actively pursuing CompTIA Data+ and Security+ certifications to strengthen data analysis and security expertise.