About Me

  • Birthday: 31/10/2003              Age: 20
  • Phone: +91 8295638723      City: Sirsa
  • Degree: BTech graduate
  • Email: iyuvrajbagga@gmail.com

As a highly skilled BTech graduate with expertise in web backend development using Python Flask and a strong background in data science and machine learning, I am passionate about continuously expanding my knowledge and pushing boundaries in the realms of technology. Beyond coding, I find immense joy in exploring diverse interests such as photography, modeling, and graphic designing, channeling my creativity into visually stunning creations. Additionally, as a proficient gamer, I thrive on challenges and constantly seek opportunities for growth and learning in every aspect of my life.


My Education

Ch. Devi Lal State Institute of Engineering and Technology, Sirsa, Haryana, India

B.Tech. in Computer Science and Engineering

September 2020-2024 (GPA: 7.01)





Govt. Model Sanskriti Sr. Sec. School, Sirsa, Haryana, India

12th Grade in Science (Non-Medical)(HBSE)

March 2019-2020 (Percentage- 61.2/100)






My Skills



What do I bring to the table?

Expertise in Backend Development

I bring a solid foundation in Python, web frameworks (such as Django and Flask), and database management, which allow me to build robust, scalable, and efficient backend systems. My skills enable me to handle complex data flows, implement RESTful APIs, and ensure seamless integration with front-end applications.


Creative Thinking

My capacity for creative thinking adds a unique dimension to problem-solving. It enables me to approach challenges from unconventional angles, leading to innovative solutions and opportunities for growth and improvement within data-driven projects and strategies.


Adaptability and Teamwork

My adaptability allow me to thrive in dynamic environments, quickly learning and applying new technologies or methodologies as needed. Coupled with my strong teamwork skills, I collaborate effectively with diverse teams, leveraging collective expertise to achieve shared goals and drive successful outcomes.




FundWiser

Full Stack website (Feb, 2024 - April, 2024)


  • Built a financial management application's backend using Flask-RESTful and SQLite3 database to manage user authentication, financial transactions, and various other crucial functionalities.
  • Created a user account cards API enabling seamless input of card details and facilitating credit or debit transactions, ensuring a fluid and intuitive user experience.
  • Implemented comprehensive functionality, including income and expense tracking, profile management, retirement planning, and a contact form API, integrated and contributing to a robust backend system.
  • Conducted thorough testing and debugging processes to ensure reliability and stability of the backend system, resolving any issues promptly to maintain a smooth user experience
    • Github






Prediction of Income Bracket of US Citizen

ML Project(April, 2023 - May,2023)


  • Trained a robust machine learning model to predict the income bracket of US citizens, emphasizing the importance of the $50K threshold, using a dataset with relevant features, Analyzed data multiple Classification models like Logistic Regression and Decision Trees.
  • Achieved impressive Classification accuracy and precision by applying advanced techniques in data preprocessing, feature engineering, and model selection, showcasing strong proficiency in machine learning.
  • Gave 2 Data Driven recommendations to improve efficiency,Better Optimization for Classification.
    • Kaggle Github


Movies Recommender System

This is a content-based recommender system, which comes under unsupervised learning in Machine Learning, in this project I have used 2 datasets of movies from TMDB(The Movie Data Base) website and manipulated the data (data extraction) according to the requirements, and makes tags on the basis of the required information, and used scikit-learn to search the cosine similarities between the searched movie and the rest of the movies and export them in a pickle file and used the data from the pickle file to show on the webpage with the help of Streamlit library for the overall designing of the webpage and used the TMDB API for the movie posters and hosted the website on the Heroku as a web app.

Github






Face Detection using OpenCV

This project aims to do real-time Face detection through a Video or an Image using OpenCV and MobileNetSSD. The idea is to loop over each frame of the video stream, detect Faces. all the Faces Structures are in Labels.txt file which can be detected and band bound each detection in a box.

Github


Sigma Weather app

The Weather App provides real-time weather data for any location on Earth. It's designed to be user-friendly and informative, giving you the current temperature, weather conditions, humidity, and wind speed. You can quickly get a snapshot of the weather without the need for complex setups or configurations.

Website Github



Let's Connect

+91 8295638723

iyuvrajbagga@gmail.com

Download Resume

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