I will build a machine learning model in python with eda, prediction
Data Science, Analytic, AI Engineer
About this Gig
Is your data sitting unused in a spreadsheet with no model to make predictions from it?
You are in the right place.
I am a Gold Medalist BS Data Science graduate and AI Developer with 3+ years of production experience building machine learning systems used by real businesses. I don't just build models I build solutions that actually work on your data.
WHAT I WILL BUILD FOR YOU
- Classification models (logistic regression, SVM, random forest, XGBoost)
- Regression and forecasting models (linear, polynomial, time series)
- Clustering and segmentation (K-Means, DBSCAN, hierarchical)
- Deep learning models (CNN, RNN, LSTM) with TensorFlow or PyTorch
- Complete EDA data cleaning, visualization, feature engineering
- Model evaluation, tuning, and accuracy optimization
- Computer vision models (image classification, object detection)
- NLP models (text classification, sentiment analysis)
- Jupyter Notebook with full step-by-step explanations
- Python scripts and automation pipelines
- Deployment-ready code (Streamlit, FastAPI, Gradio)
TOOLS & LIBRARIES
Python · Scikit-Learn · TensorFlow · PyTorch · Pandas · NumPy
Matplotlib · Seaborn · XGBoost · OpenCV · NLTK · FastAPI
My Portfolio
Other Data Science & ML Services I Offer
FAQ
Can you build machine learning models in Python?
Yes. I build classification, regression, clustering, and deep learning models in Python using Scikit-Learn, TensorFlow, and PyTorch.
Can you analyze and visualize my dataset?
Yes. I perform full EDA, data cleaning, feature engineering, and visualization using Pandas, NumPy, Matplotlib, and Seaborn with clean Jupyter notebooks.
Do you handle deep learning, computer vision, and NLP projects?
Yes. I build deep learning models for image classification, object detection, NLP, sentiment analysis, and predictive analytics.
Will I get the full source code and documentation?
Yes. You will receive the full Python source code, Jupyter notebooks, model files, and a clean documentation report.
What do you need from me to start?
Please share your dataset (CSV, Excel, images, or text), the problem you want to solve, and the expected output. I will then recommend the right ML approach.

