Nishi A.
Junior Data Annotation Specialist
Open to offersNew to PlatformAbout
Nishi A. is a highly skilled computer science undergraduate from Vellore Institute of Technology with a CGPA of 9.00, specializing in NLP and ML pipeline optimization. With extensive experience as an AI/ML Intern at Schools2AI, she processed over 10,000 records at a remarkable 95% accuracy, significantly improving annotation workflows. Her role involved designing multi-label classification schemas and enhancing dataset usability by 30%. Nishi also gained expertise as a Machine Learning Intern at Hike Pvt. Ltd., where she streamlined data pipelines and reduced processing time by 20%. She was selected among the top candidates for Amazon's ML training program, showcasing her proficiency in Python, Pandas, Scikit-learn, and PyTorch. Nishi's technical arsenal includes developing intelligent systems like the Pharma-Context Engine and the GeoInsight AI Platform, solidifying her acumen in data science. A certified Oracle Cloud Infrastructure Data Science Professional, she has presented AI solutions to diverse audiences, making her a formidable force in the data science domain.
Experience
AI/ML Intern
Schools2AI · 2025 — PresentAnnotated and structured over 10,000 CBSE question records utilizing NLP, effectively enabling scalable ML training pipelines while decreasing manual review time by 40%. Developed a multi-label classification schema to enhance dataset usability, executed data validation and quality assurance to maintain a high level of annotation accuracy, and automated workflows through Python scripts to boost labeling throughput.Machine Learning Intern
Hike Pvt. Ltd. · 2025 — 2025Curated and preprocessed more than 5,000 records for AI-driven product features using Python and Pandas. Conducted systematic quality checks on AI-generated outputs to mitigate inconsistencies, resolved schema inconsistencies in ETL data pipelines for faster processing times, and collaborated with product and engineering teams to integrate data workflows into production ML systems.Machine Learning Trainee
Amazon ML Summer School · 2025 — 2025Chosen among top candidates for Amazon’s prestigious ML/AI training program. Engaged in the implementation of end-to-end NLP pipelines that included essential processes such as text preprocessing, feature extraction, and model evaluation. Created a resume analyzer utilizing Sentence-BERT embeddings, achieving a high level of matching accuracy.
Skills & Expertise
Education
- Bachelor of Technology in Computer Science EngineeringVellore Institute of Technology · 2023 — 2027