I will build, evaluate, and improve machine learning projects

I am a Data Scientist with hands-on experience in building, evaluating, and improving machine learning projects. I help turn raw data into reliable models that solve real problems and support better decisions.

My work covers the full machine learning pipeline, from understanding the data to delivering tested and optimized models. I focus on accuracy, clarity, and practical results.

What I offer:

• Exploratory Data Analysis (EDA)
• Data cleaning and preprocessing
• Data analysis and visualization
• Feature engineering
• Building machine learning models
• Prediction modeling
• Classification and decision tree models
• Model evaluation, testing, and comparison
• Model optimization and performance improvement
• Basic cloud deployment and model integration
• Supervised and unsupervised learning

Tools and technologies:

• Python, R
• R Studio, Visual Studio, Jupyter Notebook
• Scikit-learn, NumPy, Pandas
• TensorFlow, PyTorch, Deeppy
• Streamlit for apps and demos

ML algorithm:

• K-MEAN
• KNN
• SVM
• PCA
• Random forest
• XG-Boost
• Linear regression
• Logistic regression
• Naive Bayes
• Decision Tree
• Linear Discriminant Analysis

Please reach out to me before placing the order. I'll tell you which package fits for your work.