You will get a production-ready machine learning model with high accuracy
Project details
š You will get a production-ready machine learning solution tailored to your business needs.
I help businesses transform data into actionable insights using machine learning and MLOps. Whether you need classification, regression, anomaly detection, NLP, or predictive analytics, I deliver scalable and well-documented solutions.
Services include:
ā Machine Learning Models
ā NLP & Text Classification
ā Anomaly Detection & Fraud Detection
ā Data Cleaning & Feature Engineering
ā Model Validation & Performance Analysis
ā FastAPI Deployment & REST APIs
ā Model Monitoring & Drift Detection
ā Source Code & Documentation
Tech Stack:
Python ā¢ Scikit-Learn ā¢ TensorFlow ā¢ XGBoost ā¢ Pandas ā¢ NumPy ā¢ FastAPI ā¢ Docker ā¢ SQL ā¢ BERT
I focus on delivering reliable, maintainable, and business-driven ML solutions that are ready for real-world use.
I help businesses transform data into actionable insights using machine learning and MLOps. Whether you need classification, regression, anomaly detection, NLP, or predictive analytics, I deliver scalable and well-documented solutions.
Services include:
ā Machine Learning Models
ā NLP & Text Classification
ā Anomaly Detection & Fraud Detection
ā Data Cleaning & Feature Engineering
ā Model Validation & Performance Analysis
ā FastAPI Deployment & REST APIs
ā Model Monitoring & Drift Detection
ā Source Code & Documentation
Tech Stack:
Python ā¢ Scikit-Learn ā¢ TensorFlow ā¢ XGBoost ā¢ Pandas ā¢ NumPy ā¢ FastAPI ā¢ Docker ā¢ SQL ā¢ BERT
I focus on delivering reliable, maintainable, and business-driven ML solutions that are ready for real-world use.
Machine Learning Tools
Amazon SageMaker, Apache Spark MLlib, Azure Machine Learning, BERT, BigDL, Databricks Platform, Databricks MLflow, deeplearn.js, Deeplearning4j, MATLAB, Microsoft Power BI, NLTK, NumPy, Open Neural Network Exchange, pandas, Python Scikit-Learn, PyTorch, scikit-learn, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$100
|
Standard
$200
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 8 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 2 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 3 | 5 | 8 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$30 - $80Frequently asked questions
About Adedapo
Machine learning engineer
Dortmund, GermanyĀ - 9:54 pm local time
I help businesses build, deploy, and monitor machine learning solutions that turn data into actionable insights.
With experience in Machine Learning, NLP, anomaly detection, and MLOps, I specialize in developing production-ready AI systems and robust data pipelines. I have worked on projects involving drift detection, fraud detection, predictive analytics, customer churn prediction, and text classification.
š¹ What I can help you with:
ā Machine Learning & Predictive Modeling
* Classification and Regression
* Anomaly Detection
* Feature Engineering
* Model Evaluation and Hyperparameter Tuning
ā Natural Language Processing (NLP)
* Text Classification
* BERT Embeddings
* Semantic Similarity
* Sentiment Analysis
* Email and Document Processing
ā MLOps & Deployment
* FastAPI APIs
* Docker Containerization
* Model Monitoring
* Drift Detection
* ETL Pipelines
* Workflow Automation
ā Data Science & Analytics
* Data Cleaning and Preprocessing
* Exploratory Data Analysis
* Statistical Analysis
* Pandas and NumPy
* Data Visualization
š Tech Stack:
Python ā¢ SQL ā¢ Scikit-Learn ā¢ TensorFlow ā¢ XGBoost ā¢ BERT ā¢ Pandas ā¢ NumPy ā¢ FastAPI ā¢ Docker ā¢ Git ā¢ Streamlit ā¢ Matplotlib
Recent work includes:
ā¢ Developing an end-to-end framework for drift detection in NLP and computer vision models.
ā¢ Building monitoring pipelines using BERT and ResNet embeddings.
ā¢ Supporting fraud detection and risk assessment workflows on large structured datasets.
ā¢ Creating machine learning models for phishing email detection and customer churn prediction.
I am committed to delivering clean, scalable, and well-documented solutions that provide measurable value. Whether you need a machine learning prototype, an API for model deployment, or help with data analysis and automation, I would be happy to discuss your project.
Let's build something impactful together!
Steps for completing your project
After purchasing the project, send requirements so Adedapo can start the project.
Delivery time starts when Adedapo receives requirements from you.
Adedapo works on your project following the steps below.
Revisions may occur after the delivery date.
Project Understanding & Data Review
I will analyze your requirements, review the dataset, and define the best machine learning approach for your problem.
Data Preparation & Feature Engineering
I will clean and preprocess the data, handle missing values, and create features to improve model performance.