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Data Science with 1+ years in data analysis & process improvement, skilled in Generative AI & NLP.
Data Scientist and AI professional with hands-on experience in machine learning, natural language processing, Generative AI, Agentic AI systems, and LLM application development. Skilled in building intelligent solutions using Python, LangChain, CrewAI, AutoGen, RAG pipelines, vector databases, and prompt engineering techniques. Demonstrated ability to develop production-ready AI applications including legal document intelligence, NER systems, object detection, text summarization, and sentiment analysis projects. Completed Advanced AI and Generative AI certification from SkillzRevo covering LLMs, ML, NLP, and AI-driven decision systems. Passionate about applying cutting-edge AI to solve complex business problems through data-driven thinking, model development, and scalable AI workflows.
Women's Christian College
Bachelor of Science (B.Sc.) · Plant Biology and Plant Biotechnology
January 1, 2018 – May 1, 2022
Velammal Matriculation Higher Secondary School
Higher Secondary · Bio-Maths
January 1, 2018 – Present
Covenant Consultancy
HR Recruiter
May 1, 2024 – July 1, 2024
India
AGS Healthcare
Process Associate
July 1, 2022 – February 1, 2024
Chennai, Tamil Nadu, India
Object Detection System
June 24, 2026 – Present
Developed a computer vision model for detecting and classifying objects in images using deep learning techniques. Built end-to-end preprocessing and model training pipelines for robust detection across varied image inputs. Evaluated detection performance using standard computer vision accuracy metrics.
View ProjectText Summarization Engine
June 24, 2026 – Present
Designed an automated NLP-based summarization system to generate concise, relevant summaries from large text corpora. Applied transformer-based and statistical NLP techniques for extractive and abstractive summarization. Iteratively refined model output quality to improve summary coherence and relevance.
View ProjectSentiment Analysis
June 24, 2026 – Present
Built a text classification model to analyze and categorize sentiment (positive, negative, neutral) from user or customer data. Performed EDA, feature extraction, and model evaluation to deliver accurate sentiment classification. Delivered actionable insights on user sentiment trends to support business decision-making.
View ProjectNamed Entity Recognition (NER)
June 24, 2026 – Present
Built a supervised NLP model to identify and classify entities (names, organizations, locations) from unstructured text data. Applied tokenization, preprocessing, and iterative model tuning to improve entity extraction accuracy. Evaluated model performance using standard NLP metrics including precision, recall, and F1-score.
View ProjectLegal Document AI Application
June 24, 2026 – Present
Developed an AI-powered legal document analysis application using Generative AI, NLP, and LLM-based document understanding techniques. Implemented intelligent document summarization, entity extraction, and query-answering workflows over legal text. Integrated RAG pipelines for context-aware legal information retrieval and automated response generation. Applied prompt engineering and LangChain workflows to improve legal text analysis accuracy and automation.
View ProjectLegal Document AI Application
SkillzRevo
April 1, 2025 – Present
Advanced AI and Generative AI Program
SkillzRevo
April 1, 2025 – July 1, 2026
AI-Powered Text Summarization System
SkillzRevo
April 1, 2025 – Present
AI-Powered Resume Classifier System
SkillzRevo
April 1, 2025 – Present
Cultural Fit Analysis
The candidate shows a strong passion for AI and Data Science, transitioning from a non-technical background and actively pursuing certifications and personal projects. This demonstrates initiative, a growth mindset, and a drive to learn, which are positive indicators for cultural fit in a dynamic tech environment. The diversity of projects (CV, NLP, Generative AI) also indicates a broad interest in the field.
Soft Skills & Operational Fit
The candidate's previous roles as an HR Recruiter and Process Associate suggest developed communication, stakeholder coordination, data accuracy, and process compliance skills. These are valuable for understanding business requirements, ensuring data quality, and collaborating within a data science team, indicating a good operational fit.