web-traffic-analysis

Illumina NovaSeq 6000 server log parsing and analysis for BaseSpace and bcl2fastq pipelines.

HAR eXploration and Rapid Intelligence

This is the 2019 MMA Datathon project related to conversion of web traffic analysis. Result: 3rd place finalist.

Statistical and Graphical Display of data collected by web traffic collected from a website

OIDC/SSO middleware how-to and reference implementations for apps behind a reverse proxy.

Mergen is a project that facilitates the analysis of traffic by logging incoming web traffics to ASP.NET applications broadcasting with Microsoft IIS (Internet Information Services) service.

Classifies traffic from OpenCitations server access logs into three categories (human visitors, generic bots, LLM bots) and three services (web, API, SPARQL)

Detected suspicious web traffic using AWS CloudWatch logs. Cleaned & analyzed 282 network sessions from 7 countries, applied Isolation Forest to flag ~5% anomalies, and visualized attacker IP patterns — showcasing data-driven cybersecurity analytics with Python & scikit-learn.

Detecting suspicious web traffic using unsupervised ML and ensemble anomaly detection.

Built a Tableau dashboard analyzing Swiggy’s web traffic and marketing campaigns, delivering data-driven recommendations to improve conversion rates.

Simple standalone Web Traffic Analyzer which draws hits on a world map based on GeoIP results.

A jev intelligence layer for event stream to classify the app traffic into human vs ai_agent vs seo_tool vs scraper vs other_automation with bad_intent probability

This project demonstrates the creation of an interactive Splunk dashboard to analyze Apache Web Traffic Logs in JSON format. The dashboard provides real-time insights into web activity, error trends, top resources, user IPs, and geographic traffic distribution.

Analysis on LAcity.gov's web traffic based on 8 million records over 5 years, with data for unique visitors, total sessions, and bounce rate.