Technical Architect
Waggoner Engineering, Mississippi, United States
Technical Architect with expertise in utilizing data analytics to inform strategic decision-making. Skilled in SQL, Python (including machine learning libraries like scikit-learn and TensorFlow), and Power BI for advanced BI reporting. Holds a Master's in Data Analytics from Northeastern University and boasts over 8 years of cross-industry experience. Proficient in data warehousing, statistical analysis, and predictive modeling. Excels in uncovering actionable insights and driving business growth through innovative data-driven solutions. Passionate about staying updated with the latest trends and technologies in data science.
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Enhancing Watershed Prioritization Using an Automated Machine Learning Approach
Tuesday, May 20, 2025
5:00 PM – 5:15 PM Alaska Daylight Time (AKDT)
Challenges and Limitations of Automated Erosion Detection and Estimation in Gully Erosion
Wednesday, May 21, 2025
10:30 AM – 10:45 AM Alaska Daylight Time (AKDT)