You will get I will build and deploy deep learning & predictive machine learning models
Project details
You will get a fully functional, accurate predictive or deep learning model tailored to your business needs, deployed as an easy-to-use API or web app. With strong expertise in Python, TensorFlow, PyTorch, and cloud deployment, I focus on delivering solutions that drive actionable insights and business growth. I’m passionate about turning complex data into reliable forecasts and scalable AI tools that clients can integrate seamlessly. All work is original, tested, and comes with documentation to ensure you can maintain or expand your solution easily.
Machine Learning Tools
Amazon SageMaker, Apache Spark, Azure Machine Learning, ChatGPT, Deeplearning4j, Mapr, Microsoft Excel, Microsoft Power BI, MLflow, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, R, scikit-learn, SciPy, SPSS, SQL, TensorFlow, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$50
|
Standard
$120
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 1 | 3 | 12 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$40 - $50
Additional Revision
+$20
Additional Model Variation
(+ 1 Day)
+$30
Additional Scenario
(+ 1 Day)
+$30
Additional Graph/Chart
(+ 1 Day)
+$20
Model Documentation
+$20
Source Code
(+ 2 Days)
+$50
Extended Support
(+ 5 Days)
+$80Frequently asked questions
About Mubarak
Data Scientist | Data Analyst | Machine Learning & AI Engineer
Ibadan, Nigeria - 2:00 pm local time
With 5+ years of experience working daily with Python, TensorFlow, PyTorch, OpenCV, and NLP frameworks, I’ve successfully delivered production-ready AI applications that drive measurable business value across industries such as health, environment, research, and business.
🔹 My Expertise
✔ Machine Learning & Deep Learning – Regression, Classification, Clustering, Time-Series Forecasting
✔ Computer Vision – Image Processing, Object Detection, OCR, Facial Recognition
✔ Natural Language Processing (NLP) – Chatbots, Sentiment Analysis, Text Generation, Document Classification
✔ Data Science & Analytics – Data Cleaning, EDA, Feature Engineering, Visualization
✔ AI Model Deployment – Flask, Streamlit, Gradio, Docker, BentoML, APIs, AWS, Azure
✔ Automation & Chatbots – Smart assistants and process automation solutions
💡 What I bring to your project
• End-to-end ML pipelines: from data cleaning & preprocessing to deployment
• Clear, engaging data visualizations with Python (Matplotlib, Seaborn, Plotly, PowerBI)
• AI-powered applications (chatbots, speech synthesis apps, retrieval systems)
• Strong GitHub portfolio with diverse ML/DL projects
• Collaboration-focused approach: I listen, refine, and deliver results you can use
🛠 Tech Stack & Tools
Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch)
Deep Learning (CNN, RNN, ResNet, MobileNet, GANs)
Data Visualization (Matplotlib, Seaborn, Plotly, PowerBI)
NLP & AI (Transformers, Llama 2, Hugging Face, CLIP, Whisper)
GIS & Remote Sensing (Google Earth Engine, Sentinel-2, Random Forest, CART)
Deployment (Flask,FastAPI, Docker, APIs, Git/GitHub)
🚀 Selected Projects
• AgroSage AI – AI startup concept for sustainable livestock health & agro-waste management (Llama-powered multilingual AI).
• Flood Hazard Mapping – Applied ML & GIS to assess flood-prone regions in Nigeria.
• Automated Waste Classification – Built a CNN model (MobileNetV2) for smart recycling.
• Speech & Conversational AI – Developed a TTS app with real-time playback and a chatbot with sentiment-aware responses.
• Vector Search AI – Built a cross-modal multimedia retrieval system with ChromaDB + CLIP.
🔹 Why Work With Me?
✅ Proven Track Record – Delivered end-to-end AI/ML solutions across multiple industries.
✅ High-Quality Work – Scalable, optimized, and well-documented AI models ready for deployment.
✅ Clear Communication – Regular updates, transparency, and collaboration.
✅ On-Time Delivery – Projects completed efficiently and within deadlines.
✅ Client Satisfaction – My goal is to provide solutions that truly add value and exceed expectations.
📈 Whether you need a custom ML pipeline, a computer vision system, an NLP model, or AI-powered business applications, I deliver solutions that are technically strong, practical, and business-focused.
📩 Let’s connect today and bring your AI project to life!
Steps for completing your project
After purchasing the project, send requirements so Mubarak can start the project.
Delivery time starts when Mubarak receives requirements from you.
Mubarak works on your project following the steps below.
Revisions may occur after the delivery date.
Client purchases the project and provides dataset and requirements.
Analyze data, clarify objectives, and design model architecture.