Aditya

Key Skills

Software

Don't disclose

Other

Top Subject Matter

Misinformation detection in news (NLP/ML)

Supervised ML for predictive analytics (data preprocessing and model training)

Enterprise web application development supporting structured data workflows

Top Data Types

Text

Image

Top Task Types

Data Collection

Freelancer Overview

Research Intern — Society for Data Science (Misinformation research and model evaluation). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Other. Education includes Bachelor of Technology, K. J. Somaiya Institute of Technology (2025) and Higher Secondary Certificate, Jai Hind College (2021). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

Research Intern — Society for Data Science (Misinformation research and model evaluation)

Don't discloseText

Conducted research using advanced ML to study and detect misinformation in large news text corpora. Built and evaluated models for misinformation detection to identify patterns indicating fake news from article text. The work included quantitative model evaluation and contributions to an IEEE conference publication.• Analyzed text datasets of 21,000+ news articles to extract indicators of fake news.• Developed and evaluated models including ColBERT and SVM for misinformation detection.• Optimized performance using Matthew’s Correlation Coefficient and other metrics.• Co-authored and contributed to an IEEE conference paper related to misinformation datasets.

2023 - 2025

Data Science & ML Intern — Ybi Foundation (model development and preprocessing)

Don't discloseTextData Collection

Developed predictive machine learning models for real-world analytics tasks using Python-based deep learning frameworks. Implemented data preprocessing pipelines to transform and prepare large-scale datasets for training and evaluation. The role involved applying regression and classification approaches to structured data problems.• Used Python, TensorFlow, and PyTorch to build predictive ML models.• Implemented robust preprocessing pipelines for efficient handling of large-scale datasets.• Applied regression and classification techniques to analytics problems.• Prepared data for model training/evaluation workflows.

2023 - 2023

Azure, Java, and Web Development Intern — Claidroid Technologies (structured data via app/database)

OtherTextData Collection

Gained experience with Azure cloud services and enterprise web development practices while building and deploying an application. Although the role was primarily engineering, it supported ML-ready data workflows through database-backed application development. The work included deploying a library management system that could support structured data creation and retrieval needs.• Built and deployed a library management web application using Azure App Services and Azure SQL Database.• Applied core software engineering principles for enterprise-grade solutions.• Collaborated on application functionality and deployment using Azure services.• Worked within a database-driven environment supporting structured data handling.

2022 - 2023

Education

Work History