Hello, My name is
Ramkrushna Naik
And I'm a Comp

About me

I'm Ram and I'm a Com

My name is Ramkrushna Naik, and I am a DevOps engineer currently working as an intern at Xperi. I have done my specialization in Machine learning. Additionally, well-versed in competitive programming and familiar with the fundamentals of HTML, CSS, and Javascript. I have done my intermediate from DAVps Brajrajnagar, and am currently pursuing my bachelor’s Degree from Lovely Professional University with an aggregate of 8.13 CGPA. Now I am working on DevOps tools like Git, Jenkins, Kubernetes, and Docker.

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My skills

My creative skills & experiences.

My primary programming languages are C++ and Python, and have some great hands-on skills in competitive programming. I've honed my skills on a variety of platforms, including Leatcode, Codechef, Hackerank, and others. I've completed a few projects in HTML, CSS, and Javascript, and I know the basics of each. I have worked on several machine learning techniques because it is my area of expertise. I am currently employed by Xperi as a DevOps intern.

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Python 80%
ML 70%
Cpp 80%
Html-css 60%
Mysql 70%
JS 60%

My project

Medical Inventory System

Created a basic Medical Inventory System using python and developed its UI using tkinter.The purpose of system is to store the information about quantity of medic and also in which disease it is used. The GUI is interactive so layman can also understand the working

Photo Album Template

Used HTML and CSS to produce a simple template for a photo album. It offers a straightforward login page and enables users to interactively display their photo albums.

Portfolio website

I used HTML, CSS, and Javascript to build an interactive website for my portfolio that essentially has all of the records of my professional past.
Churn prediction

Churn prediction is a common use case in the machine learning domain. The purpose of the system is to build on historical data and then use it to predict the classes of the current customers to identify the churn.
House price prediction

House price forecasting is an important topic in real estate. The system attempts to derive useful knowledge from historical data on property markets. Used diffrent ML technique and created a robust system that feeds on historic data.

Medical Inventory System

Created a basic Medical Inventory System using python and developed its UI using tkinter.The purpose of system is to store the information about quantity of medic and also in which disease it is used. The GUI is interactive so layman can also understand the working

Photo Album Template

Used HTML and CSS to produce a simple template for a photo album. It offers a straightforward login page and enables users to interactively display their photo albums.

Portfolio website

I used HTML, CSS, and Javascript to build an interactive website for my portfolio that essentially has all of the records of my professional past.
Churn prediction

Churn prediction is a common use case in the machine learning domain. The purpose of the system is to build on historical data and then use it to predict the classes of the current customers to identify the churn.
House price prediction

House price forecasting is an important topic in real estate. The system attempts to derive useful knowledge from historical data on property markets. Used diffrent ML technique and created a robust system that feeds on historic data.

Medical Inventory System

Created a basic Medical Inventory System using python and developed its UI using tkinter.The purpose of system is to store the information about quantity of medic and also in which disease it is used. The GUI is interactive so layman can also understand the working

Contact me

Get In Touch

Interested in working together or If you have any questions, please feel free to drop me a line. If you don't get an answer immediately, I might just be traveling through the middle of nowhere. I'll get back to you as soon as I can. That's a promise!

Name
Ramkrushna Naik
Address
Jharsuguda, Odisha
Email
Ramkn1201@gmail.com
Message me