You will get a custom machine learning model deployed and production-ready
Project details
Turn your data into predictions that drive real business decisions. I'll build a custom ML model trained on your data, optimized for your use case, and deployed ready for production.
You'll get a working machine learning system, not just a Jupyter notebook, but a deployed solution your team can actually use.
Perfect for:
• Customer churn prediction
• Fraud detection & risk scoring
• Demand forecasting & inventory optimization
• Lead scoring & conversion prediction
• Document classification & NLP tasks
• Image recognition & computer vision
• Recommendation systems
What's included:
• Exploratory data analysis & feature engineering
• Model selection and hyperparameter tuning
• Performance evaluation with clear metrics
• REST API for real-time predictions (Standard+)
• Docker containerization & cloud deployment (Standard+)
• Model monitoring & drift detection (Advanced)
• Full documentation and code ownership
Tech: Python, PyTorch, TensorFlow, Scikit-learn, FastAPI, Docker, AWS SageMaker, MLflow
I build models that work in production, not just in notebooks. Message me with your data and problem, I'll tell you if ML is the right solution!
You'll get a working machine learning system, not just a Jupyter notebook, but a deployed solution your team can actually use.
Perfect for:
• Customer churn prediction
• Fraud detection & risk scoring
• Demand forecasting & inventory optimization
• Lead scoring & conversion prediction
• Document classification & NLP tasks
• Image recognition & computer vision
• Recommendation systems
What's included:
• Exploratory data analysis & feature engineering
• Model selection and hyperparameter tuning
• Performance evaluation with clear metrics
• REST API for real-time predictions (Standard+)
• Docker containerization & cloud deployment (Standard+)
• Model monitoring & drift detection (Advanced)
• Full documentation and code ownership
Tech: Python, PyTorch, TensorFlow, Scikit-learn, FastAPI, Docker, AWS SageMaker, MLflow
I build models that work in production, not just in notebooks. Message me with your data and problem, I'll tell you if ML is the right solution!
Machine Learning Tools
Amazon SageMaker, Apache Spark, BERT, ChatGPT, Databricks Platform, Keras, MLflow, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, R, RapidMiner, scikit-learn, SciPy, Scrapy, Tableau, TensorFlow, Tesseract OCR, Weka, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$50
|
Standard
$100
|
Advanced
$200
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 2 | 5 | 10 |
Number of Scenarios | 1 | 3 | 5 |
Number of Graphs/Charts | 5 | 10 | 20 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$10 - $100
Additional Revision
+$30
Additional Model Comparison
+$30
GPU Training (Deep Learning)
+$50
Monthly Model Monitoring
+$30Frequently asked questions
About Kishen Kumar
AI Engineer | Deriv
Puchong, Malaysia - 3:26 am local time
Steps for completing your project
After purchasing the project, send requirements so Kishen Kumar can start the project.
Delivery time starts when Kishen Kumar receives requirements from you.
Kishen Kumar works on your project following the steps below.
Revisions may occur after the delivery date.
Data Exploration
Analyze your dataset, understand distributions, identify patterns and potential issues.
Feature Engineering
Create and select features that improve model performance based on domain knowledge.