You will get a custom machine learning model in Python for prediction and classification
Project details
Is your business losing revenue due to poor forecasting or customer churn? I build custom machine learning models in Python that turn your raw data into accurate predictions — so you can act with confidence.
You don't need to understand the algorithms. You just need a model that works.
What you'll get:
Custom ML model trained on your dataset
Data cleaning and feature engineering (handled for you)
Algorithms compared and selected for your problem (Scikit-learn, XGBoost, TensorFlow)
Hyperparameter tuning and optimisation
Evaluation report with accuracy, F1-score and AUC metrics
Clean Python code with documentation and deployment-ready model file
Use cases:
Customer churn prediction and forecasting
Sales and demand forecasting
Fraud detection and classification
NLP text classification
Recommendation systems
Tech stack: Python · Scikit-learn · XGBoost · TensorFlow · Keras · PyTorch · pandas · NumPy
MSc Data Science, Middlesex University London. Real-world ML delivery across banking and financial services.
Not sure if ML is right for your problem?
Message me before you order — I'll tell you honestly what's achievable.
You don't need to understand the algorithms. You just need a model that works.
What you'll get:
Custom ML model trained on your dataset
Data cleaning and feature engineering (handled for you)
Algorithms compared and selected for your problem (Scikit-learn, XGBoost, TensorFlow)
Hyperparameter tuning and optimisation
Evaluation report with accuracy, F1-score and AUC metrics
Clean Python code with documentation and deployment-ready model file
Use cases:
Customer churn prediction and forecasting
Sales and demand forecasting
Fraud detection and classification
NLP text classification
Recommendation systems
Tech stack: Python · Scikit-learn · XGBoost · TensorFlow · Keras · PyTorch · pandas · NumPy
MSc Data Science, Middlesex University London. Real-world ML delivery across banking and financial services.
Not sure if ML is right for your problem?
Message me before you order — I'll tell you honestly what's achievable.
Machine Learning Tools
Amazon SageMaker, Apache Spark, BERT, Databricks Platform, Databricks MLflow, H2O, Keras, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, SQL, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$98
|
Standard
$198
|
Advanced
$348
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 12 days |
Number of Revisions | 2 | 3 | 3 |
Number of Model Variations | 1 | 3 | 5 |
Number of Scenarios | 1 | 3 | 5 |
Number of Graphs/Charts | 5 | 10 | 19 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$40 - $100
Additional Revision
+$25
Additional Model Variation
(+ 2 Days)
+$40
Additional Scenario
(+ 1 Day)
+$20
Additional Graph/Chart
+$10
Model Documentation
(+ 1 Day)
+$30
Data Source Connectivity
(+ 1 Day)
+$35Frequently asked questions
1 review
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SA
Shahryar A.
Apr 22, 2026
Need a Power BI Dashboard for Sales Data Analysis
Danial did an outstanding job on my project for sales data analysis. His work was exceptionally clean, well-structured, and easy to understand. He demonstrated a strong grasp of data visualization best practices and delivered a dashboard that is both visually appealing and highly functional.
Communication throughout the project was smooth and professional. Danial was responsive, open to feedback, and made adjustments quickly whenever needed. He also showed great attention to detail, ensuring the data was accurate and the insights were clear and actionable.
I’m very satisfied with the results and would highly recommend Danial to anyone looking for high-quality work. I would definitely work with him again on future projects.
Communication throughout the project was smooth and professional. Danial was responsive, open to feedback, and made adjustments quickly whenever needed. He also showed great attention to detail, ensuring the data was accurate and the insights were clear and actionable.
I’m very satisfied with the results and would highly recommend Danial to anyone looking for high-quality work. I would definitely work with him again on future projects.
About Danial
Data Scientist | Power BI , ML Models , LLM/AI | Python | MSc London
Hayes, United Kingdom - 5:05 am local time
What I build:
▶ Machine Learning & Predictive Modeling
End-to-end Python ML pipelines using scikit-learn, XGBoost, and TensorFlow. Classification, regression, clustering, time-series forecasting, and anomaly detection. Clean code, documented models, and explainable results — not just Jupyter notebooks.
▶ Power BI & Tableau Dashboards
Interactive business intelligence dashboards that connect to SQL databases, Excel, APIs, and cloud sources. Custom DAX measures, drill-through reports, and executive-ready data visualization. Delivered with full documentation so your team can maintain them.
▶ AI Apps, NLP & LLM Integration
Production-ready AI applications using OpenAI API, LangChain, and RAG (Retrieval-Augmented Generation). Custom chatbots trained on your documents, automated NLP pipelines for text classification and sentiment analysis, and ChatGPT-powered workflow automation.
▶ Data Pipelines, ETL & Web Scraping
Automated data collection and ETL pipelines using Python (Pandas, NumPy, BeautifulSoup, Scrapy). Database integration with PostgreSQL, MySQL, and cloud warehouses. Scheduled pipelines so your data is always fresh without manual effort.
Why clients choose me:
• UK-based with native English communication — no timezone frustration
• MSc Data Science, Middlesex University London — verifiable credentials
• I deliver production-ready work, not academic experiments
• Fixed-price projects with clear milestones — no surprise invoices
• Every deliverable includes documentation, clean code, and a handover summary
Send me a message describing your project — I offer a free 20-minute scoping call for all new clients. Let’s figure out exactly what you need before you spend a penny.
Steps for completing your project
After purchasing the project, send requirements so Danial can start the project.
Delivery time starts when Danial receives requirements from you.
Danial works on your project following the steps below.
Revisions may occur after the delivery date.
Data Review & Problem Definition
I review your dataset and business problem, define the ML objective, target variable, and confirm the project scope and approach.
Data Cleaning & Feature Engineering
I clean your data, handle missing values and outliers, engineer new features, and prepare the dataset for model training.