Yuvraj B.

Key Skills

Software

Other

Top Subject Matter

Machine Learning (classification, preprocessing, feature engineering, model evaluation)

Frontend development for data-driven dashboards (API integration support)

Top Data Types

Text

Top Task Types

Classification

Freelancer Overview

Frontend Developer Intern (Remote). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Technology, Noida Institute of Engineering and Technology (2026) and Class XII, Government Inter College (2021). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Frontend Developer Intern (Remote) at Deep Thought (Mar 2025 – Aug 2025)

Other

Contributed to building user-facing interfaces intended to support AI/ML-ready application flows by aligning frontend components with API integration. Developed responsive dashboard UI elements using HTML, CSS, and JavaScript to improve interaction and usability. Focused on modular UI component development and scalable front-end architecture to enable smooth data-driven experiences. • Developed responsive dashboard UI with HTML, CSS, and JavaScript. • Built modular UI components and optimized layouts using Flexbox. • Collaborated on frontend architecture aligned with API integration. • Supported scalable application design for data-driven dashboards.

2025 - 2025

Machine Learning Intern (Remote) at CodeSoft (Sep 2024 – Nov 2024)

OtherClassification

Implemented machine learning workflows including data preprocessing, feature engineering, and model training using Python. Built and evaluated classification models (Logistic Regression and Naive Bayes) using standard performance metrics. Worked end-to-end from data cleaning through model evaluation to support ML experimentation rather than pure model deployment. • Performed data preprocessing steps as part of training preparation. • Carried out feature engineering to improve model inputs. • Trained and evaluated classification models using metrics. • Executed data cleaning and iterative experimentation during ML development.

2024 - 2024

Education

Work History