I am a Machine Learning Engineer specializing in building end-to-end ML solutions, from data preprocessing and feature engineering to model development, evaluation, and deployment. I help businesses turn raw data into accurate and actionable insights using Python, Scikit-Learn, TensorFlow, PyTorch, Pandas, NumPy, and Jupyter Notebook.
I can create high-quality classification, regression, forecasting, and clustering models tailored to your dataset and business requirements. My services include data cleaning, exploratory data analysis (EDA), model selection, hyperparameter tuning, performance optimization, and delivering fully documented, well-structured code.
What sets my work apart is my focus on clarity, communication, and results. Every project includes a detailed explanation of the solution, performance report, and continuous updates throughout the development process. Whether you need a predictive model for decision-making, a research-based implementation, or improvements to your existing ML code, I ensure fast delivery and reliable outcomes.