I will build custom machine learning models
About this Gig
Automation needs AI, and AI needs reliable data.
Hi, Im Amaresh, an AI Engineer specializing in Machine Learning, Data Science, MLOps, and cloud deployment. I help businesses transform raw data into actionable insights and build, optimize, and deploy reliable machine learning solutions.
What I can provide:
- Machine Learning: Model creation, testing, evaluation, and hyperparameter tuning
- ML Pipelines: Automated training and prediction pipelines
- MLOps: Experiment tracking and model lifecycle management using MLflow, DVC, and Airflow
- Model Deployment: Deploy ML models to cloud environments
- Data Analysis: Data ingestion, cleaning, preprocessing, visualization, and actionable insights
Tools & Technologies:
Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, FastAPI, MLflow, DVC, Airflow, SQL, Excel, Power BI, Tableau, Jupyter, Google Colab, AWS
Please contact me before placing an order so we can discuss your requirements and project scope.
FAQ
What do you need from me to start the project?
I typically need your dataset, project requirements, target variable, expected outcome, and any existing code or model. If you are unsure about the requirements, contact me first and we can discuss your project.
What types of machine learning models do you build?
I can build classification, regression, clustering, predictive analytics, anomaly detection, recommendation, and other custom machine learning models based on your requirements.
Do you provide data preprocessing and cleaning?
Yes. I can handle data cleaning, missing values, outliers, encoding, feature engineering, scaling, and other preprocessing steps required for model development.
Can you improve or fine-tune an existing machine learning model?
Yes. I can evaluate your existing model, identify performance issues, perform feature engineering and hyperparameter tuning, and optimize the model based on appropriate evaluation metrics.
Can you deploy my machine learning model to the cloud?
Yes. I can help deploy machine learning models to cloud environments and create APIs for serving predictions, depending on the project requirements and selected package.
Can you build an MLOps pipeline?
Yes. I can build ML pipelines for automated training, experiment tracking, model management, and prediction workflows using tools such as MLflow, DVC, and Airflow.
Can you modify or improve my existing machine learning project?
Yes. I can review, debug, optimize, or extend an existing ML project. Please share the project details before placing an order so I can determine the scope.
Should I contact you before placing an order?
Yes, please contact me before purchasing. Every machine learning project has different data, requirements, and complexity. Discussing the project beforehand helps ensure the correct package, scope, and delivery time.

