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S
Shrasti S.

Shrasti S.

Data Annotator (Remote) — Innodata Inc.

India flagKanpur, India

Key Skills

Software

Other

Top Subject Matter

AI/ML dataset annotation and quality assessment
Supervised machine learning modeling for sports prediction

Top Data Types

TextText

Top Task Types

Question AnsweringQuestion Answering
Text GenerationText Generation
Evaluation/RatingEvaluation/Rating
Computer Programming/CodingComputer Programming/Coding
Data CollectionData Collection
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Freelancer Overview

Data Annotator (Remote) — Innodata Inc.. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Technology, Pranveer Singh Institute of Technology (2026) and Intermediate, Prabha Sunrise Educational Institute (2022). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Evaluation and Rating.

Labeling Experience

Data Annotator (Remote) — Innodata Inc.

OtherTextText

Annotated, labeled, and validated datasets for AI/ML model training and evaluation to support machine learning workflows. Conducted quality assurance reviews and content evaluation while following project-specific annotation guidelines. Assessed model outputs to ensure consistency, accuracy, and adherence to labeling standards for downstream use. • Performed dataset validation and labeling checks for training/evaluation readiness. • Reviewed content quality and compliance with annotation instructions. • Evaluated model outputs against expected results and quality criteria. • Ensured labeled data met requirements for reliability in ML pipelines.

2026 - Present

AI Intern (Remote) — Infosys Springboard

Other

Built a machine learning-based cricket score prediction system using historical match data and iterative feature engineering. Processed and prepared datasets with 50k+ records to improve model accuracy. Iteratively evaluated performance improvements to reach a reported accuracy gain of ~86.8%. • Engineered features from historical cricket match data for supervised learning. • Processed and cleaned datasets containing 50k+ records using Pandas and SQL. • Trained and iteratively refined models based on evaluation results. • Measured and reported prediction accuracy improvements.

2025 - 2026

Education

P

Pranveer Singh Institute of Technology

Bachelor of Technology, Artificial Intelligence and Machine Learning

Bachelor of Technology
2022 - 2026
P

Prabha Sunrise Educational Institute

Intermediate, General Studies

Intermediate
2020 - 2022

Work History

I

Infosys

AI Intern

Kanpur
2025 - 2026