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This project is about building a data pipeline to move network traces from a dataset to a Neo4J data store using Python. Each trace over TCP and UDP as well as their subtraces (ARP and ICMP) need to be modelized and stored in Neo4J. The purpose is to visualize each sender and receiver as Nodes, as well as the type of the protocol used as a relationship.

Python 2.89% Jupyter Notebook 97.11%

datapipeline-tcp-udp-neo4j's Introduction

Hi there, I'm Mouad Lasri! ๐Ÿ‘‹

I'm a Software Engineer and Data Science Enthusiast. I hold a Masters' Degree in Computer Science from Korea University ๊ณ ๋ ค๋Œ€ํ•™๊ต, Seoul. I was in the MLV (Machine Learning and Vision) research lab, and a Microsoft Student Ambassador (2nd highest rank) in Korea.

My professional experience can be found on my Linkedin

- ๐Ÿ’ป Interested in Back-end Development and Machine Learning projects

- โšก In my free time, I enjoy working on my personal projects, and reading self-development and philosophy books.

โœ Website & Writing

My portfolio and data science related articles are available on my website at mouadlasri.com

๐Ÿ”ง Tech Stack

Technologies that I've picked up along my programming journey:

Front-end

html
Html 		css
CSS 		icon
JavaScript 		icon
TypeScript 		icon
React 		icon
Tailwind

Back-end

java
Java 		java
Spring 		java
Django 		css
Nodejs 		icon
.Net 		icon
SQL

Databases & Cloud

java
MongoDB 		java
MySQL 		java
Azure

Data Analysis

java
Python 		java
Pandas 		numpy
Numpy 		matplotlib
Matplotlib

๐Ÿ“ˆ Stats

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datapipeline-tcp-udp-neo4j's People

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