Web Application Firewall

Lead Data Scientist in Cybersecurity @ StackPath
Member of the Web Application Firewall (WAF) data team
Work on the different R&D projects related to (WAF)
Responsible for several things such as Big Data analysis, AI/ML solutions development
Leaded R&D process of the main component of the IP Spotlight feature from idea to implementation. It is about the IP risk score assessment function of the IP threat summary
Experienced in different ML techniques such as NLP, clustering, and classification as well as debugging process of existing models
Built several internal tools such as analytical, reporting and ML process debugging tools
Wrote technical documentation, user guides and other types of documentation improving the knowledge sharing process
Gained experience in researching and application of different AI/ML approaches applicable in cybersecurity domain
Improved skills for both interpretation and development of complex SQL queries
Obtained knowledge in working with ClickHouse DBMS and all other industry standard software such as Atlassian tools package, Jenkins, Kibana, GitHub, AWS S3

IP Spotlight is a feature that allows our customers to investigate an IP address and gather more meaningful data about it. Some of the data we provide per IP address is as follows:

IP threat summary, including a risk assessment score
Use of botnets
“Known for” activities
IP ownership information
Request information, including requests blocked and a unique session count
Geographic information on attack origins and targets
Attack distribution over time

This feature shows you all the information we have gathered on any entered IP address so that you can make a more data-driven decision regarding securing your web presence.

[text & image taken from the link below]

LINK

Data Science

Big Data

Cybersecurity

Web Application Firewall - WAF

Tech stack & Tools

Python

Jupyter Notebook

SQL Querying

DBeaver

MySQL Workbench

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