That's Me
I am recent Master in Computer Science (Dec 2020) from Texas State University. Self starter & avid learner. I love exploring new tools and technologies specially when there is a lot playing around visualize-friendly tech operations. I have super wide range of knowledge and hands-on experience on Front-End, Back-End, Full-Stack Applications, developing CI/CD pipeline, working on version controls and of course writing test cases. I am excited to start my professional journey by getting into any domain in the Software, I am confident I can do it all!
Over all I have 3 years of total work experience in agile based environment as a Game Testing Engineer back in India. I also share my experience working as Technical Support Engineer, IT Assistant and Library Assistant during my academic years. Currently, I am actively looking for full-time job opportunities in the Software/IT field. During my past time, you will find me stuck with my tiny macbook air engaged in doing geeky stuff learning new technologies by 49% learning and 51% building demo applications. I like to fill my github profile by adding my newly learned technologies. Lastly, I am a proud introvert, curious learner, eager to contribute nerd and a good listener who likes company of a chilled out person.
Languages
Programming languages experience for systems programming, web automation, and data analysis.
Cloud
My so-for deployment experience platforms.
Front-End
My preferred technologies for front-end web development and component design.
Back-End
Hands-on experience with back-end web programming and database architecture.
Tools
My favorite tools for version control, code editing, and container orchestration.
Featured Projects
Pocket Blogging Website
Developed and designed a content management website in Python, using Flask framework. I used HTML5, CSS3 and Bootstrap for designing the website and used MySQL for development further deployed the website using PostgreSQL database on Heroku. Also, I performed the unit testing using unittest module.
Check it out!
Covid-19 Visualization
Using the COVID-19 data from the GitHub data repository for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). I extracted the data using Data Science Libraries for visualizing the update on the number of active cases, deaths, and recovered cases worldwide. I used jupyter notebook to visualize the data in various graphs and charts.
Check it out!
Face Detection
Facial Detection is my first step towards Machine Learning. This project consists of a python script to detect faces in an image and webcam live video using haar cascade. 'Facial detection using Haar Cascade' is a Machine Learning approach, where the haar cascade function is trained with a set of input data. These input set of data are available on the OpenCV github repository OpenCV Pre-Trained Dataset Repo which contains ample of pre-trained classifiers for face, eyes, full body, front face, etc.
Check it out!