You will get a full data science project with analysis, visuals, and ML
Project details
I will build a full data science workflow/machine learning model that helps you make predictions from your data.
This project is suitable for classification, regression, and business prediction tasks such as customer churn prediction, sales forecasting, lead scoring, price prediction, risk prediction, customer segmentation, and other structured data problems.
I can help with data cleaning, exploratory analysis, feature preparation, model training, model comparison, performance evaluation, and a clear explanation of the results.
Depending on your package, I can include:
Data review and cleaning
Exploratory data analysis
Feature engineering
Classification or regression model
Model comparison
Model evaluation metrics
Prediction output file
Jupyter Notebook or Python script
Clear explanation of model results
Final report with recommendations
Please note: final model performance depends on the quality, size, and structure of your dataset. I will give an honest evaluation of what your data can support.
This project is suitable for classification, regression, and business prediction tasks such as customer churn prediction, sales forecasting, lead scoring, price prediction, risk prediction, customer segmentation, and other structured data problems.
I can help with data cleaning, exploratory analysis, feature preparation, model training, model comparison, performance evaluation, and a clear explanation of the results.
Depending on your package, I can include:
Data review and cleaning
Exploratory data analysis
Feature engineering
Classification or regression model
Model comparison
Model evaluation metrics
Prediction output file
Jupyter Notebook or Python script
Clear explanation of model results
Final report with recommendations
Please note: final model performance depends on the quality, size, and structure of your dataset. I will give an honest evaluation of what your data can support.
Machine Learning Tools
Azure Machine Learning, Databricks Platform, Databricks MLflow, Google Data Studio, H2O, MLflow, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, SQL, Vertex AI, XGBoostWhat's included
| Service Tiers |
Starter
$350
|
Standard
$750
|
Advanced
$1,350
|
|---|---|---|---|
| Delivery Time | 8 days | 18 days | 29 days |
Number of Revisions | 1 | 2 | 2 |
Model Validation/Testing | |||
Model Documentation | - | - | |
Data Source Connectivity | |||
Source Code | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$75 - $250
Additional Revision
+$65
Additional Model Variation
(+ 1 Day)
+$85
Additional Scenario
+$132
Additional Graph/Chart
+$45
Extra dataset
+$95Frequently asked questions
About Oluwadolapo
AI/ML Data Scientist | Python, Machine Learning & Data Engineering
Sunderland, United Kingdom - 12:56 am local time
I am a Full-stack Data Scientist and AI/ML Engineer with 3+ years of experience in data science, machine learning, deep learning, Generative AI, data engineering, and deployment. I work across the full project lifecycle: data cleaning, analysis, feature engineering, model training, evaluation, dashboards, APIs, and production deployment.
My core tools include Python, SQL, R, scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch, Hugging Face, OpenAI, FastAPI, Streamlit, Power BI, Tableau, Docker, Databricks, Azure, GCP, and AWS.
I can help you with:
- Data cleaning, analysis, and visualisation
- Machine learning models for prediction, classification, forecasting, and anomaly detection
- AI assistants, chatbots, LLM applications, and RAG systems
- NLP and document-processing workflows
- Dashboard development using Power BI, Tableau, Streamlit, Plotly Dash, or Excel
- Data pipelines, ETL, SQL reporting, and automation
- API development and deployment for AI/data products
- MLOps, model evaluation, monitoring, and lifecycle support
I have an evolved execution and project management workflow from my years of experience. I focus on clean code (adhering to software development methodologies), clear communication, reproducible results, and solutions that my clients can immediately integrate and/or deploy. I can support both business-facing analytics projects and technical AI/ML development work.
You can also book a consultation with me to scope your AI, data science, dashboard, automation, or machine learning project and help align on the best technical direction before development begins.
If you have raw/messy data, an AI idea, a manual process, or an existing workflow that needs improvement, I can help you turn it into a reliable working solution.
Steps for completing your project
After purchasing the project, send requirements so Oluwadolapo can start the project.
Delivery time starts when Oluwadolapo receives requirements from you.
Oluwadolapo works on your project following the steps below.
Revisions may occur after the delivery date.
Dataset and Goal Review
I will review your dataset and understand what you want the model to predict.
Data Cleaning
I will check missing values, duplicates, column types, formatting issues, and basic data quality.