Hello, It's me

Tejas Warade

And I'm a

I'm skilled C++ Programmer and Frontend Developer. I'm very passionate and dedicated to my work.

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About Me

Web Developer

As a good computer programmer, I bring a wealth of technical expertise and a strong passion for coding to any project I undertake. With a solid foundation in various programming languages and frameworks, I have successfully developed and deployed complex software applications, solving challenging problems with innovative solutions. My attention to detail, analytical mindset, and ability to work collaboratively make me a valuable asset to any development team.

  • C++
    Problem Solving, OOPS & DSA
  • HTML-CSS-JS
    Designing and Frontend Development
  • Python
    Machine Learning and Flask App Deployment
  • Jun 2023 - July 2023
    Intern Developer at Ibase Electrosoft LLP, Amravati
  • Jun 2023 - Aug 2023
    Completed web development training at Internshala
  • Aug 2022 - Oct 2022
    Semifinalist in VOIS Hackathon
  • 2021 - 2024
    B.Tech in EXTC at SGGSIE&T, Nanded
  • 2019 - 2020
    HSC from C.S.K Junior College, Nandura
  • 2017-2018
    SSC from C.S.K High School, Nandura

My Tech Stack

Technologies I worked on

C++ and DSA

Wrote efficient and optimized computer programs

Web Development

Created different projects in which designed a full responsive website

Machine Learning

Created projects- Rainfall Prediction and Movie Recommendation System

Databases

Worked on Databases using mySQL and learned about management of data.

My Portfolio

Awesome Works

project1

Rainfall Prediction

Developed a machine learning model using the CatBoost classifier to accurately predict rainfall probability based on historical weather data, with an accuracy of 86% and also deployed a web app using Flask.

project2

News App

A user-centric News App that uses HTML and CSS for a visually appealing design and JavaScript for API calls to deliver personalized news content based on user preferences and interests across the globe.

project3

Movie Recommendation System

A Movie Recommendation System which suggests movies to users based on their preferences. It uses cosine similarity algorithm to analyze user data and movie characteristics, to provide suggestions.

Contact

Get in Touch

Address

SGGSIE&T Nanded, Maharashtra

LinkedIn

Tejas Warade