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P

Pooja Kumari

Virtual Intern – AI/ML Training and Data Preparation

India flagRemote, India
$20.00/hrEntry Level

Key Skills

Software

No software listed

Top Subject Matter

Artificial Intelligence
Business Data
Legal Services & Contract Review

Top Data Types

TextText
DocumentDocument
Computer Code ProgrammingComputer Code Programming

Top Task Types

ClassificationClassification
Computer Programming/CodingComputer Programming/Coding

Freelancer Overview

Virtual Intern – AI/ML Training and Data Preparation. Brings 2+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Engineering, Lovely Professional University (2023). AI-training focus includes data types such as Text and labeling workflows including Classification.

Entry LevelEnglishHindi

Labeling Experience

Virtual Intern – AI/ML Training and Data Preparation

TextClassification
During my virtual internship at Infosys Springboard 6.0, I worked extensively with real-world datasets and applied AI/ML models to address practical business problems. I conducted data preprocessing, model training, evaluation, and optimization, gaining significant hands-on exposure to AI workflows. These tasks involved various aspects of supervised learning, including preparing data inputs and categorizing data for machine learning purposes. • Conducted analysis and cleaning of large textual datasets for AI modeling. • Trained and validated classification models on business-relevant dataset samples. • Documented and evaluated labeling results using metrics like accuracy and precision. • Collaborated virtually with mentors to ensure data labeling quality and consistency.

During my virtual internship at Infosys Springboard 6.0, I worked extensively with real-world datasets and applied AI/ML models to address practical business problems. I conducted data preprocessing, model training, evaluation, and optimization, gaining significant hands-on exposure to AI workflows. These tasks involved various aspects of supervised learning, including preparing data inputs and categorizing data for machine learning purposes. • Conducted analysis and cleaning of large textual datasets for AI modeling. • Trained and validated classification models on business-relevant dataset samples. • Documented and evaluated labeling results using metrics like accuracy and precision. • Collaborated virtually with mentors to ensure data labeling quality and consistency.

2025 - 2025

Education

L

Lovely Professional University

Bachelor of Engineering, Computer Science Engineering

Bachelor of Engineering
2023

Work History

I

Infosys

AI/ML Intern

Remote
2025 - Present