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Tahir Khan Banner

Night Coding

Hey there! I'm Tahir

  • 🎓 I'm currently studying Big Data & AI at the SRH Berlin Univeristy Of Applied Sciences.

  • 🔭 I’m working on Household Electricity Data scraping and processing

  • 🌱 I’m actively learning Data Engineering

  • 👯 I’m looking to collaborate on data engineer and data analytics projects

  • 🤝 I’m looking for help with machine learning models

  • 👨‍💻 All of my projects are available at https://github.com/iamtahirkhan6?tab=repositories

  • 📫 You can shoot me an email at [email protected]! I'll try to respond as soon as I can.

  • 📄  Please have a look at my Resume for more details about me. I'm open to feedback and suggestions!

🛠  Tech Stack

aws docker laravel mysql

🤝🏻  Connect with Me

⚙️  GitHub Analytics

Tahir Uddin Khan's Projects

budget-planner icon budget-planner

C based Budget Planner that lets you maintains details such as income, expenses and store it in a file.

coaching-management-system icon coaching-management-system

Coaching Management System was submitted as a part of my assignment for an internship application during my Winter Break of 2019. It consists of multiple user types and their different actions. Technologies used were PHP/MYSQL and Bootstrap framework for Front-End.

internshala-extreme icon internshala-extreme

An application to automate the time consuming process of selecting/applying/tracking of internships.

milkify icon milkify

A platform to connect the local dairy farmers to the consumers in the city without any hassle.

student-psychology-assessment-system icon student-psychology-assessment-system

Student Psychology Assessment is a project that assesses an individual's performance on tasks, with an objective to obtain a standardized measure of a sample of behaviour. Using this application, the user can obtain standardized measure of behaviour by examining behaviour and emotions of an individual using instruments like questionnaires.

tweetsight icon tweetsight

An application to analyze the tweet patterns of a user and categorize the tweets with 97.2% accuracy.

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