Chad Warner
Details
Systems and Information Engineering
University of Virginia
1998 : 2002
Doctor of Law - JD
Law
University of Arkansas
2003 : 2006
• Developed and implemented security policies and procedures
• Performed vulnerability scans and penetration tests
• Monitored and responded to security incidents
• Performed regular security audits
• Implemented security controls to protect systems and data
• Configured and maintained firewalls and other security devices
• Researched and recommended security solutions
• Trained users on security policies and procedures
• Monitored compliance with security policies
• Developed and maintained security awareness programs
• Investigated security breaches and recommend corrective actions.
2023 : Present
Springboard
Cybersecurity Fellow
• Administered real-time KPI (Key Performance Indicators) monitoring and applied the necessary
adjustments to meet daily, weekly, monthly, and annual goals.
• Queried, created, compiled, compared, assessed, and shared data, in the form of custom reports on a
scheduled interval : daily, weekly, monthly, and annual.
• Conferred with team leaders to communicate targets, forecasts, trends, and strategies.
• Utilized Python to automate reports saving time and increased productivity.
• Devised and presented metrics to measure the organization's progress with visualizations.
• Exceeded team goals and collaborated with staff members to implement team initiatives.
2022 : 2023
Exelon
Senior Data Analyst
• Queried, collected, analyzed, aggregated, manipulated, and compiled call center data with the objective of identifying trends and making recommendations to management based upon the findings.
• Applied Workforce Management techniques to optimize scheduling and skilling of agents
• Responsible for daily, weekly, and monthly reporting on key KPI’s (Key Performance Indicators) and made recommendations for real time adjustments in order to optimize performance
• Analyzed budgeting dollars allocated for campaigns and made recommendations for budget optimization
• Identified and created new opportunities to increase volume, sales, and conversion rates.
• Assisted in increasing sales by 10%, while decreasing spend by 15%
2021 : 2022
Aetna U.S. Healthcare Holdings Inc
Senior Data Analyst
• Fleet and collision management company focused on assessing driver risk, telematic data analysis, motor vehicle record (MVR) monitoring, -improving driver safety, and ensuring that repairs meet industry standards.
• Responded to, offered support, and tracked inquiries made by system users
• Assisted, troubleshot, and resolved issues with equipment and applications
• Effectively communicated and educated non-technical users on how to use our system
• Maintained records of trends and patterns regarding specific issues and created manuals that addressed specific issues
2019 : 2022
CEI Collision and Fleet Safety
Information Technology
• 600+ hours of hands-on course material, with 1 : 1 industry expert mentor oversight and completion of 2 in-depth capstone projects.
• Mastered skills in data cleaning, data wrangling, exploratory data analysis, feature engineering, pre-processing data, and modeling.
• Presented projects and communicated my finding and recommendations to audiences with technical and non-technical backgrounds.
Capstone Project 1
• Developed a model that had the capability to predict housing prices using a linear regression, Bayesian models with accuracy of age classifier with 101 classes and 80% accuracy
• Implemented Convolutional Neural Network (CNN) with PyTorch
• Implemented metrics to calculate loss functions
• Augmented 101,000 image files to create more samples for the model
• Deployed model to the AWS EC2 using Docker and stored images on S3
Topics covered in mini projects include :
• EDA's with data visualizations and storytelling
• Customer segmentation using clustering
• Linear and Logistic Regression
2020 : 2021
Springboard
Data Scientist
Skills
Amazon Web Services (AWS), Analytical Skills, Big Data Analytics, Business Intelligence (BI), Cryptography, Customer Relationship Management (CRM), Cyber Kill Chain Framework, Data Analytics, Database Security, Data Cleaning, Data Modeling, Data Science, Data Visualization, Data Wrangling, Exploratory Data Analysis, Feature Engineering, Firewall Administration, Hardening, Identity and Access Management (IAM), Internet of Things (IoT), Intrusion Detection, Kali Linux, Linear Regression, Linux, Log Analysis, Logistic Regression, Microsoft Azure, Microsoft Power BI, Patch Management, Penetration Testing, Presentation Skills, Process Auditing, Project Management, Python (Programming Language), Reconnaissance, Risk Analysis, Security Testing, Security Training, Software Development Life Cycle (SDLC), Software Testing, Splunk, SQL, Tableau, Technical Writing, Threat & Vulnerability Management, Virtualization, Vulnerability Scanning, Web Application Security, Wireless Networking, Wireshark
About
Dedicated and highly motivated Cybersecurity professional with CompTIA Security+ and 12 years in data analytics. Skilled in Threat & Vulnerability Management, Intrusion Detection, Incident Response, Penetration Testing, and Risk Analysis. Experience with real-time monitoring feeds, anomaly detection, building Python scripts, assessments, and recommendations. Seeking a position to utilize my problem-solving, technical, and analytical skills.
Profile Photo
