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Dheeraj Singh

@dheerajsingh5

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AI/LLM Analyst at Innodata, improving dataset accuracy through annotation reviews and validation.

India

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At Innodata Inc., I work with AI/LLM datasets, applying project-specific guidelines to annotate and review data for quality, consistency, and accuracy.

I investigate incomplete, inconsistent, and ambiguous records, and work with reviewers and team members to resolve edge cases. I also document observations and follow standardized validation processes.

As a Senior Associate at Innodata Inc., I annotated and validated datasets for AI/LLM models, mentored junior associates, and supported workflow distribution and process improvements.

During my Data Analyst internship at IBM, I used Python to clean and analyze customer reviews, perform sentiment analysis, and visualize findings. I hold a bachelor's degree in Computer Science Engineering with a specialization in Artificial Intelligence and Machine Learning from the University of Petroleum and Energy Studies.

Experience

Work history, roles, and key accomplishments

Current

Analyst AI/LLM

Current

Innodata Inc.

Nov 2024 - Present (1 year 11 months)

In my current role, I work with AI/LLM datasets and focus on annotation quality, consistency, and accuracy. I review complex data, apply project-specific guidelines, investigate inconsistencies, and resolve ambiguous cases.
• Annotate and review AI/LLM data according to detailed quality guidelines.
• Identify incomplete, inconsistent, and ambiguous records during quality checks.
• Investigate re

Current

Senior Associate

Current

Innodata Inc.

Jan 2024 - Present (2 years 9 months)

• Annotated and validated large datasets for AI/LLM models, maintaining accuracy and consistency across machine-learning pipelines.
• Trained and mentored junior associates, managed workflow distribution and supported process improvements.
• Collaborated with engineering and QA teams to improve annotation strategies, validation checks and feedback loops.

Business Development Associate

PlanetSpark

May 2024 - Aug 2024 (3 months)

Identified and qualified potential clients through market research and networking, boosting the sales pipeline.
• Built and maintained strong client relationships by providing tailored solutions, enhancing customer satisfaction.
• Delivered compelling product presentations and demonstrations, effectively communicating value propositions to potential clients.

Data Analyst Intern

IBM

Jun 2023 - Sep 2023 (3 months)

Worked on a customer-review analysis project using Python to clean, transform, analyze, and visualize unstructured data.
• Cleaned and prepared customer-review data using Pandas and NumPy.
• Performed text preprocessing and sentiment analysis using NLTK and Scikit-learn.
• Classified reviews into positive, negative, and neutral categories.
• Analyzed customer-feedback patterns and recurring them

Social Intern

Pinkish Foundation

May 2022 - Jul 2022 (2 months)

• Supported community-awareness initiatives focused on women’s health and hygiene.
• Helped organize educational workshops and outreach activities.
• Collaborated with team members and community representatives to deliver engagement programs.