I will build machine learning model using python tensorflow and sklearn
AI Engineer, React and Django Full Stack Developer
About this Gig
Build High-Performance Machine Learning Models for Your Business or Research
Looking for an experienced Machine Learning Engineer to build accurate, scalable, and production-ready ML solutions? You're in the right place!
I specialize in developing custom Machine Learning models using Python, Scikit-learn, TensorFlow, Keras, Pandas, NumPy, and MLflow for startups, businesses, researchers, and students.
Services I Offer
Classification Models
Regression Models
Predictive Analytics
Customer Churn Prediction
Sales & Demand Forecasting
Recommendation Systems
Fraud & Anomaly Detection
NLP & Text Classification
Feature Engineering
Data Cleaning & Preprocessing
Hyperparameter Tuning
Model Optimization
REST API Integration
Cloud Deployment (AWS, Azure, GCP, Hugging Face)
Why Choose Me?
Production-ready ML solutions
Clean, well-documented source code
Scalable architecture
High model accuracy
Fast communication & support
End-to-end development
Whether you need a predictive model, business analytics solution, recommendation engine, or custom ML application, I'll deliver a reliable and optimized solution tailored to your requirements.
Please contact me before placing an order to discuss your
My Portfolio
Other Data Science & ML Services I Offer
FAQ
Can you build a custom Machine Learning model from my dataset?
Yes. I can build a complete ML solution using your dataset, including preprocessing, feature engineering, model training, evaluation, and optimization.
Which Machine Learning algorithms do you use?
I work with: Random Forest XGBoost LightGBM Logistic Regression Decision Trees SVM KNN Naive Bayes Neural Networks TensorFlow Scikit-learn
Can you improve my existing Machine Learning model?
Absolutely. I can optimize accuracy through feature engineering, hyperparameter tuning, model selection, and performance improvements.
Will I receive the complete source code?
Yes. Every project includes clean, well-documented source code with setup instructions and technical documentation.
Can you deploy the model?
Yes. I can deploy your Machine Learning model using FastAPI, Flask, Streamlit, Docker, AWS, Azure, Google Cloud, Render, or Hugging Face Spaces.
What datasets do you work with?
I work with CSV, Excel, SQL databases, APIs, JSON, text datasets, image datasets, and custom business data.
Do you work on academic and research projects?
Yes. I help with university projects, research prototypes, final-year projects, and real-world business applications.

