Nathan Cornelius Email & Phone Number

Basking Ridge, Nj, Us

• Developed a predictive machine learning model to forecast outage conditions on client networks, enabling Operations Engineers to preemptively diagnose and troubleshoot problematic areas, reducing outages by 8%.• Employed various statistical techniques to analyze millions of rows of customer network data to understand usage patterns and generate strategies to optimize network performance on a personalized basis.• Created time series forecasting models to anticipate long-term device and network overload, empowering Sales Engineers to proactively promote upgrade opportunities to customers.• Worked with Ops Engineers to identify chronically problematic routers, resulting in improved root cause analysis.

San Francisco, Ca, Us

• Consulted for a San Francisco based SaaS company to construct a predictive random forest model from behavioral data that classified users in a free trial environment who converted to subscription customers with 88% precision.• Leveraged scikit-learn, numpy, pandas and csv Python packages to outperform previously developed in-house heuristic models, enabling sales and marketing teams to increase free trial outreach efforts by 1.5x.• Engineered features from a graph-like representation of customer data resulting in an 11% increase in model accuracy.

Mountain View, California, Us

• Served as the primary marketing link between the engineering and sales teams, empowering sales with product understanding and materials to showcase a deeply technical business intelligence suite to non-technical audiences.• Analyzed large datasets using various statistical methods to find compelling trends and narratives for sales engineers to leverage in product demonstrations shown to hundreds of current and potential customers worldwide.• Created datasets in Python, wrote demo scripts, led webinars, produced blog posts, generated visualizations, and built demo videos illustrating diverse product functionalities on a technical level.• Managed the front and backend creation and maintenance of a free trial experience used by thousands of trial signups worldwide.

Austin, Texas, Us

• Built customized predictive models using machine learning algorithms including Naive Bayes, Gradient Boosted Trees, Random Forest, and Logistic Regression.• Used SQL and Python to analyze large datasets across various CRMs and derive insight into which algorithms and features best serve customer sales and marketing needs for over 100 customers.• Worked collaboratively with several teams including Engineering, Sales Engineering, and Account Management to ensure customer success and drive development for internal model building tools and best practices.

Doctor Of Philosophy (Ph.D.), Biomedical Engineering

Bachelor Of Science (B.S.), Electrical Engineering

Bachelor Of Arts (B.A.), Economics