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Navdeep Randhawa
Melbourne, Australia
I am Computer Science graduate with interest and skilled in Software Development and Data Science and an avid Sports fan. In my free time, you can find me watching and analysing different sports, be it soccer or cricket. I am skilled at cricket(I believe) but I have no skills when it comes to soccer, which I fell in love with because of Messi (and FC Barcelona). I am a dedicated individual and like to perform the assigned tasks diligently by collaborating well with the team.I possess strong technical skills and soft skills which would enable me perform my job efficiently. I am always keen on learning new skills and improving the skillset that I possess. Technical Stack in Software Development: ReactJS, NodeJS, Flask, MongoDB, AWS and Azure. Technical Stack in Data Science and Machine Learning: Numpy, Pandas, Matplotlib, ScikitLearn, Classification and Regression, Computer Vision. Open to Opportunities to learn and work with aforementioned skills.
CodersRank Score
What is this?
This represents your current experience. It calculates by analyzing your connected repositories. By measuring your skills by your code, we are creating the ranking, so you can know how good are you comparing to another developers and what you have to improve to be better
Information on how to increase score and ranking details you can find in this blog post.
301.8
CodersRank Rank
Top 3%
Top 10
C#
Developer
Australia
Top 100
JSON
Developer
Australia
Top 50
TypeScript
Developer
Australia
Highest experience points: 0 points,
0 activities in the last year
C#
105.4
exp.
JSON
45.5
exp.
TypeScript
53.8
exp.
JavaScript
13.4
exp.
HTML
6.8
exp.
C++
3.9
exp.
SCSS
3.8
exp.
Vue
48.5
exp.
TSQL
5.1
exp.
List your work history, including any contracts or internships
Deakin Launchpad
Jul 2021 - Aug 2021 (1 month)
Software Engineer Intern
K7 Computing Pvt. Ltd.
Nov 2020 - Dec 2020 (1 month)
Cyber Security Student
The role involved working with Penetration testing and monitoring traffic data with tools like Wireshark. In first two weeks of the internship, learned about the stages of Penetration testing and experimented with some of the social engineering concepts using Kali Linux operating system.
Later stages of the internship was designed to conduct cyber attacks such as Denial of Service and ARP Spoofing in virtual environments. The next step was to identify the type of attack using data logged in network monitoring tool. The final task was to automate the whole procedure using python scripts which could automatically identify the type of attack by importing log data of network traffic.
The internship was helpful to explore the application of data science in field of cybersecurity and how application of simple ML algorithms can improve the efficiency of monitoring the network and thus improve the continuous monitoring of the network.
Later stages of the internship was designed to conduct cyber attacks such as Denial of Service and ARP Spoofing in virtual environments. The next step was to identify the type of attack using data logged in network monitoring tool. The final task was to automate the whole procedure using python scripts which could automatically identify the type of attack by importing log data of network traffic.
The internship was helpful to explore the application of data science in field of cybersecurity and how application of simple ML algorithms can improve the efficiency of monitoring the network and thus improve the continuous monitoring of the network.
This section lets you add any degrees or diplomas you have earned.
Deakin University
Bachelor of Science - BS, Computer Science
Jan 2019 - Dec 2022
Doon Presidency School
Year 12, Science
Jan 2017 - Dec 2018
Deep Learning: Image Recognition
Dec 2021
JavaScript Essential Training
Jul 2021
Data Science Methodology
Feb 2021