Software Engineer - Machine Learning
Summary
Seasoned Software Engineer - Machine Learning with a strong background in developing and deploying advanced models to enhance fraud detection and workforce management. Successfully implemented neural network models to identify potential fraudulent relationships and optimized staffing with customer-centric scheduling models, resulting in significant cost savings. Proficient in Python, PySpark, Hadoop, Tensorflow, and other cutting-edge technologies. Designed and developed user-friendly workforce management dashboards and forecasting applications, showcasing a commitment to efficiency and innovation. Holds a BS in Computer Science from the University of North Carolina, Chapel Hill.
Expectations
In my new role, I'm looking to leverage my expertise in machine learning and software engineering. I'm seeking positions that involve developing and deploying advanced models, optimizing operational processes, and contributing to innovative solutions. I thrive in dynamic environments that value creativity, analytical thinking, and problem-solving skills. Ideally, I'd like to work in a setting that encourages collaboration, utilizes cutting-edge technologies, and provides opportunities for continued learning to align with my professional goals
Employment Preferences
Expected Base Salary
**5,000 USD
Academic Degree
Experience
Total Professional Experience
Startup Experience
Big-Tech Companies
Enterprise Experience
Skills
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