You will get a custom machine learning model built, trained, and optimized
Project details
I build custom machine learning models tailored to your specific data and business goals. Whether you need to predict customer churn, forecast sales, classify documents, or detect anomalies, I handle the entire process — from data exploration and feature engineering to model training, evaluation, and delivery of clean, documented code.
I work with Python, Scikit-Learn, XGBoost, LightGBM, TensorFlow, and PyTorch. Every project includes a detailed evaluation report with metrics like accuracy, precision, recall, F1, and ROC-AUC so you can clearly see how the model performs before deploying it.
I work with Python, Scikit-Learn, XGBoost, LightGBM, TensorFlow, and PyTorch. Every project includes a detailed evaluation report with metrics like accuracy, precision, recall, F1, and ROC-AUC so you can clearly see how the model performs before deploying it.
Machine Learning Tools
Amazon SageMaker, Apache Spark, Apache Spark MLlib, Azure Machine Learning, BERT, ChatGPT, Cloudera, Databricks MLflow, Keras, MATLAB, MLflow, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, SQL, TensorFlow, Vertex AI, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$100
|
Standard
$250
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 15 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 3 | 5 |
Number of Scenarios | 1 | 3 | 5 |
Number of Graphs/Charts | 3 | 6 | 10 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Additional Model Variation
(+ 2 Days)
+$50
Additional Graph/Chart
(+ 2 Days)
+$50
Model Documentation
(+ 2 Days)
+$50Frequently asked questions
About Orbin
AI/ML Engineer | Deep Learning, NLP & Computer Vision | End-to-End Mod
Kozhikode, India - 3:10 am local time
My strongest areas include NLP (sentiment analysis, text generation, sequence-to-sequence models), computer vision (CNNs, CycleGANs), and classical ML (regression, classification, clustering, time series forecasting). I've built projects using PyTorch, TensorFlow, Scikit-Learn, LangChain, and PySpark, and I'm comfortable working with tools like Docker, GitHub Actions, and cloud services for MLOps workflows.
Some highlights from my project work: a real-time NLP pipeline for financial news intelligence using BERT, LDA, and Transformer summarization; a CycleGAN for unpaired face sketch-to-photo translation; a full CI/CD ML API with Prometheus/Grafana monitoring; and an Apache Spark ETL pipeline for churn prediction. I focus on writing clean, well-documented code and delivering results that are practical and measurable.
I'm responsive, detail-oriented, and genuinely passionate about solving problems with data. If your project involves building, improving, or deploying an ML/DL system, I'd love to hear about it.
Steps for completing your project
After purchasing the project, send requirements so Orbin can start the project.
Delivery time starts when Orbin receives requirements from you.
Orbin works on your project following the steps below.
Revisions may occur after the delivery date.
Data Review & Problem Scoping
I analyze your dataset, understand the business context, and define success metrics
Data Cleaning & Feature Engineering
Handle missing values, encode features, create derived variables