I will build ml and deep learning predictive models

I help businesses, researchers, and students turn raw data into working 

machine learning and deep learning models built with clean code, clear 

documentation, and real performance metrics.

WHAT I OFFER:

Machine Learning

Classification & Regression models (Random Forest, XGBoost, SVM, 

  Logistic Regression, KNN, Naive Bayes, Decision Tree)

Data preprocessing, feature engineering & exploratory data analysis

Model comparison with accuracy, precision, recall, and F1-score reports

Hyperparameter tuning for best performance

Deep Learning

Neural Network models using TensorFlow/Keras

Image Classification (CNN)

Text/Sentiment Analysis (LSTM)

EXTRAS

Interactive Streamlit web app for your model (Premium package)

Well-commented Python code with Jupyter Notebook

Deployment support (Streamlit Cloud / Render)

I hold a B.Sc. in Computer Science with hands-on ML research experience, 

including an undergraduate thesis comparing 8 different algorithms for 

disease prediction. I focus on clear communication and models that 

actually work.

Send me your dataset and goal I'll recommend the best approach before 

we start.