Atish Ranjan Mahali - Personal Portfolio

About me

I'm a Computer Science graduate from Jaypee Institute of Information Technology and currently a Solutions Architect Intern at Red Hat. I work on designing scalable, cloud-native solutions using OpenShift, Kubernetes, and container technologies. Passionate about open source, DevOps, and machine learning, with prior experience in full-stack development and client engagement.

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Resume

Education

Kendriya Vidyalaya Island Grounds, Chennai
2019 — 2021
Higher Secondary Education (10+2)
Courses: Physics, Chemistry, Maths & Biology.
Honors: Top 5 in school with 90+% in Matriculation Examination.
Jaypee Institute Of Information Technology, Noida
2021 — 2025
Bachelors Of Technology, Computer Scinece
Courses: Computer Infrastructure, Data Structures, Algorithms & Analysis, Object Oriented Programming (C++, Java), SDLC.

Project

CampusMate - College Management System
Aug 2023 — Present
Technologies Used- React.js, Express, Node.js, MySQL, SASS CSS
CampusMate is a full-stack web app that streamlines subject management for university students and also serves as an admin tool for colleges. It reduces manual paperwork by 80%, automates administrative tasks by 70%, and boosts data retrieval efficiency by 50%.
HyperBoard - A Chrome HomePage Extension
24th July 2024 — 26th July 2024
Technologies Used- HTML, JavaScript, CSS, APIs
HyperBoard is a Chrome homepage extension designed and engineered by me and my friends. It is a frontend-focused project that features a variety of widgets including Google Slides, a Pomodoro Clock, Google Docs, a weather widget, and more. The extension enhances productivity by integrating essential tools and providing a customizable digital display board.
Mini CRM
May 2024 — June 2024
Technologies Used- React.js, Express, Node.js, MySQL, CSS
Mini CRM, built with React, Node.js, and MySQL, lets you create filters, define audiences, and manage customer profiles. Assign filters to customers, include them in audiences, and update lists easily. This enhances customer segmentation and targeted marketing.
Software Professionals Salary Predictor
May 2024 — June 2024
Technologies Used- - Machine Learning using python.
Developed a salary predictor using a dataset of 10,000+ software professionals, incorporating fields such as Company Name, Job Title, and Location. Achieved a 30% reduction in analysis time by employing key libraries including pandas, NumPy, matplotlib, seaborn, Plotly, PIL, and wordcloud. Used advanced visualization techniques to highlight top companies, in-demand job titles, and salary distributions across 20+ locations.

Technical skills

Software Development - C, C++, Python.

Web Development - HTML5, CSS, JavaScript, React , Node, REST APIs.

Development Techniques - Agile (SCRUM)and SOLID.

Databases - MySQL.

Source Control - Git.

Operating System - Windows and Linux