Professional Overview
I am an aspiring Data Scientist pursuing a BS in Data Science and Applications from IIT Madras, with a strong foundation in statistics, data analysis, machine learning, and deep learning. I enjoy using data-driven approaches to solve problems, uncover patterns, test hypotheses, and derive meaningful insights from complex datasets. My technical skills include Python, SQL, pandas, NumPy, scikit-learn, PyTorch, TensorFlow, and statistical analysis. I am comfortable with data cleaning, exploratory data analysis, feature engineering, model development, and performance evaluation. I focus on validating results through appropriate statistical methods, robust evaluation metrics, baseline comparisons, and systematic experimentation. I am also interested in machine learning engineering, model interpretability, and MLOps. I value reproducibility, data quality, and reliable evaluation practices, particularly when assessing whether a model genuinely learns useful patterns rather than exploiting data leakage or noise. My experience with modern AI technologies also includes generative AI, retrieval-augmented generation (RAG), and evaluating the quality and reliability of AI-generated outputs.
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
data science & analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
