Data Science Student building scalable, data-driven solutions with machine learning, analytics, and modern web technologies.
Transforming raw data into meaningful insights using statistical analysis and interactive visualizations.
Building predictive models using supervised and unsupervised learning techniques for real-world datasets.
Handling missing data, feature engineering, and preparing datasets for accurate model performance.
Developing interactive web apps to deploy machine learning models and visualize results.
Applying statistical techniques to interpret data, identify trends, and support decision-making.
Exploring neural networks and deep learning models for advanced data-driven solutions.
From Data Science & AI to full-stack web apps — I turn complex ideas into polished, production-ready solutions.