Niekelle Bloomfield-Hunter

Motivated Junior Engineer with hands-on experience collaborating with cross-functional teams, clients, and project leaders to successfully deliver software engineering solutions within defined timelines. Proficient in the full software development lifecycle and agile methods, with expertise in both front-end and back-end technologies. Adept at producing, evaluating, and optimizing code to ensure high-quality, efficient solutions with key skills in data science and machine learning.

Guidehouse - New York, NY, AI Studio Project (08/23 - 12/23)

• Developed supervised learning models (decision trees, random forests) to forecast humanitarian needs.
• Applied NLP sentiment analysis to social media data, tracking public perception over time.
• Designed data pipelines using Python & SQL for geographic and demographic analysis

Cornell University - New York, NY, Machine Learning Fellow (05/23 - 04/24),

• Developed machine learning models (KNN, decision trees, ensemble methods) for real-world applications.
• Engineered data preprocessing pipelines to improve model performance.
• Applied deep learning and NLP to extract insights from unstructured data.

The Braven Accelerator - Newark, NJ, Prototype Lead (09/20 - 12/20)

• Led a cross-functional team to develop a Prudential-backed mobile app prototype.
• Achieved a 90% user approval rating by iterating on design and functionality.
• Implemented Agile project management strategies to ensure timely product delivery.