Ryan Perricone
Sr. Marketing Consultant at LPL Financial
Fresno, California, United States
Summary
🤩
Rockstar🎓
Top SchoolRyan Perricone is a senior marketing consultant with a decade of experience blending marketing automation, creative design, and data-driven campaign management across IT, SaaS, and financial sectors. He currently drives marketing automation and strategy at LPL Financial, having previously owned email nurture, Pardot, and analytics pipelines at Exponent Partners to convert MQLs into sales-ready leads. Equally comfortable with Adobe Creative Suite and web development, he designs high-impact creative assets, builds and maintains enterprise websites, and produces video content that supports measurable engagement. He pairs hands-on technical skills—SEO/SEM optimization, Google Ads and Looker Studio reporting—with team leadership and cross-functional collaboration. An unexpected technical thread: he contributes back-end code to network flow analysis tooling, showing an aptitude for protocol-level data processing that complements his marketing analytics work. He holds a BS in Marketing from California State University, Fresno, and is based in Fresno, California.
11 years of coding experience
2 years of employment as a software developer
Associate of Arts and Sciences - AAS, Business Administration, Associate of Arts and Sciences - AAS, Business Administration at Clovis Community CollegeBachelor of Science - BS, Marketing, Bachelor of Science - BS, Marketing at California State University, Fresno
Github Skills (11)
c1710
udp10
c1110
network-protocol10
tcp10
tls139
libtls9
tls129
mtls9
http9
ip7
Programming languages (4)
Github contributions (5)
cisco/joy
Sep 2016 - Jul 2018
A package for capturing and analyzing network flow data and intraflow data, for network research, forensics, and security monitoring.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:429 commits, 192 PRs, 339 pushes in 1 year 10 months
Contributions summary:Ryan implemented features for processing and handling network flow data. They added and modified core modules like `nfv9.c` to process IDP flow data, introducing functionality for handling TCP and UDP protocols within the IDP context. Furthermore, the user integrated TLS processing and HTTP updates into the flow record processing, enhancing the capabilities for analyzing the network data. These changes indicate a focus on protocol analysis and data processing.
monitoringnetwork-flowsecurity
fliphil/vehicle-tracker
Sep 2016 - Apr 2018
Contributions:48 commits, 21 PRs, 42 pushes in 1 year 6 months
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