Dillon Camp

– Architect, design, and develop new core product feature - Raw Data Pipeline:

• Leverage Python and AWS infrastructure (API Gateway, Lambda functions, S3, IAM) to automatically ingest customers’ raw data from multiple sources into Snowflake
• Empower customers to easily build powerful detections across multiple datasets

– Develop new product capabilities:

• Tagging system in Django to support easy model tagging
• Logging capability for nested scripts in Python

– Identified at risk customers by creating an extensive business intelligence dashboard in Redash to highlight product use and pain points - presented findings and dashboard at company all hands

– Created cyber attack simulations of advanced persistent threat actors through replicating attack behaviors targeting specific nation states

– Configured Splunk, Palo Alto Panorama, CrowdStrike, and other EDRs to detect malicious attacks and malware

– Collaborate to create and maintain Cybersecurity Data Platform – revolutionary platform for logging and responding to security events:

• Reduce security event search time from weeks to minutes
• Lead log ingestion and create data flows using NiFi and MiNiFi
• Mentor coworkers and delegate ingestion tasks
• Implement machine learning to cluster events and identify threats
• Enrich existing data to make it better (feature engineering)
• Create monitoring using Grafana, Prometheus, and Pager Duty
• Create Slack chatbot to aid in monitoring

– Create AI log parser that automatically parses security event logs using machine learning and natural language processing

– Develop single pane of glass search which cuts incident response time by 50% by enhancing all security events with username, server/computer, and Active Directory domain information

– Enable 2500 IDS/IPS signatures by creating a vulnerability scan dashboard in Splunk to intelligently determine which signatures to deploy

Create and automate company-wide customer scoring system using Alteryx and Python to rank over 40 million customers for new product offerings:

• Clean and combine data from multiple sources
• Use machine learning to determine customer locations
• Coordinate with other departments to determine most profitable target customers

NPPI All Star of the Month – November 2018