Headline

Machine Learning & Data Analyst Intern | Python, SQL, Power BI | Turning raw data into insight-rich dashboards

About

I’m a B.Tech Computer Science (AI & ML) graduate with hands-on experience in Data Science, Machine Learning, and Large Language Models (LLMs). Currently working as an AI/LLM Analyst at Innodata, where I contribute to data annotation, scenario understanding, and content quality improvement to support GenAI model training. I have worked on predictive analytics, NLP, multimodal AI (text, audio, video), and LLM-powered applications, building solutions that move from problem understanding to production-ready deployment. My experience includes working with Python, SQL, FastAPI, Docker, Power BI, and Tableau, along with exposure to ASR/STT, sentiment analysis, and RAG-based systems. I enjoy translating business problems into structured analytical frameworks and collaborating with cross-functional teams to deliver data-driven insights and scalable AI solutions.

Location

Noida

Work experience

AI/LLM Analyst at Innodata Inc., Dec 2025 - Present · 7 mos, Noida, Annotate and validate large-scale text, image, and multimodal datasets to support training and evaluation of LLM and GenAI models. Perform scenario-based data annotation, enabling AI systems to better understand real-world contexts, user intent, and edge cases. Contribute to content quality enhancement by identifying ambiguity, bias, and inconsistencies in AI-generated outputs. Work extensively on the MultiMango platform for annotation workflows, quality checks, and task execution. Use IA (Intelligent Automation) systems to track production hours, task efficiency, and client-level performance metrics. Collaborate with QA teams and project stakeholders to ensure annotation accuracy, guideline compliance, and model readiness. Proactively flag data gaps and failure patterns, supporting continuous improvement of AI model performance.

Data Analyst Intern at Brainwave Matrix Solutions, Oct 2024 - Nov 2024 · 2 mos, Noida, Uttar Pradesh, India, • Conducted comprehensive secondary research and analysis of business datasets to support strategic investment decisions. • Analyzed over 10,000 rows of commercial sales data using Python, revealing seasonal trends that enhanced inventory planning by 6%. • Employed NLP techniques to analyze 150,000+ tweets, transforming unstructured data into actionable marketing insights.

Education

Bachelor of Technology, Artificial Intelligence, sharda university

Bharti Public School - India