Skip to content
View pranavOfficial-16's full-sized avatar
3 followers · 3 following

Achievements

Achievement: Pull SharkAchievement: Quickdraw

Achievements

Achievement: Pull SharkAchievement: Quickdraw

Block or report pranavOfficial-16

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
pranavOfficial-16/README.md

Hey there!
I am Pranav. Welcome to my page.

About Me

• I have 1.1 Years of Internship experience in Software Development
• Ex - Software Development Engineer in Test (Research & Development Intern) at Stryker
• Ex - Flutter Developer Intern at Ridobiko Bike Rentals
• M.Tech in Software Engineering (Integrated) graduate from Vellore Institute of Technology - Chennai

Area of Expertise

• I have hands-on experience in Mobile App Development, Frontend & Backend, Data Analysis, Automation & Manual Testing
• Solved around 350+ coding problems in Leetcode

Technical Skills

• Programming Languages: C/C++, Python, C#, SQL
• Mobile Development: Java, Android Studio, Dart, Flutter
• Machine Learning and AI: NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, NLTK
• Web Development: JavaScript, TypeScript, ReactJS, NodeJS, ExpressJS, Flask, FastAPI
• Databases: MySQL, PostgreSQL, SQLite, NoSQL, MongoDB, Redis, Firebase
• Tools and Technologies: Squish, Docker, REST API, GraphQL, Unix/Linux, Postman, Jira

Pinned Loading

  1. Blood_point_app Blood_point_app Public

    Developed a blood donation application using Firebase to streamline the donation process for both donors and recipients. Integrated Google Maps for navigation assistance, enhancing usability and ac…

    Java

  2. Covid-19_tracker_app Covid-19_tracker_app Public

    Created a Flutter application for monitoring COVID-19 cases both globally and by country. Delivering a comprehensive and an up-to-date view of the current pandemic situation. Enhanced user engageme…

    Dart

  3. Toxic-Comments-Classifier Toxic-Comments-Classifier Public

    This project aims to build a machine learning model capable of classifying Wikipedia comments into six different categories of toxicity: toxic, severe_toxic, obscene, threat, insult, and identity_h…

    Jupyter Notebook