Professional Overview
OverviewI am a Data Science Engineering student passionate about Machine Learning, Artificial Intelligence, and Python development. I have built practical projects, including a soccer player market value prediction model using XGBoost that reduced Mean Absolute Error by 28.8% compared with a baseline, a real estate price prediction web application with an R² score of 0.7749, and a neural network implementation using PyTorch. I am looking for remote internship or entry-level opportunities where I can contribute to real-world projects, learn from experienced engineers, and continue developing my skills in machine learning, data analysis, and software development.
Areas of Expertise
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.
