PROJECTS
What I’ve Done
As I strive to broaden my expertise in the fields of Data Science, Analytics, and Cybersecurity, I actively undertake projects to apply and demonstrate my acquired knowledge. Explore this page to discover a variety of projects that highlight my work
PACKET SNIFFING WITH WIRESHARK
This report outlines the steps and findings of a packet sniffing exercise using Wireshark. The
primary objective of this exercise was to utilize Wireshark to capture, filter, and analyze network
traffic. The specific tasks performed included creating both capture and display filters, visiting
various websites, and eliminating packets associated with a specific website. This report
provides a detailed account of each step and the corresponding results.
ANALYZING A SECURE HTTPS
WEB APPLICATION SESSION USING WIRESHARK
The objective of this report is to detail the process of analyzing a secure HTTPS web application session
using Wireshark. We will follow a step-by-step approach to capture network traffic, filter relevant data,
and examine key aspects of the session, such as the TLS version used and the Client and Server Key
Exchange Mechanism.
ANALYZING WEB TRAFFIC WITH WIRESHARK
This report documents the process of capturing and analyzing web traffic using Wireshark, a
network protocol analyzer. The primary objective of this exercise was to capture network traffic
while visiting specific websites and then filter and analyze the captured data to list only HTTP
and HTTPS packets while excluding packets related to the "cygwin.com" website.
DECIESION TREE AND RANDOM FOREST
For this project, we will be exploring publicly available data from LendingClub.com. Lending Club connects people who need money (borrowers) with people who have money (investors). Hopefully, as an investor, you would want to invest in people who showed a profile of having a high probability of paying you back. We will try to create a model that will help predict this.
LOGISTIC REGRESSION ADVERTISEMENT PROJECT
In this project, I will be working with a fake advertising data set, indicating whether or not a particular internet user clicked on an Advertisement. I will create a model that will predict whether or not they will click on an ad based on the features of that user.