Data Scientist & AI/ML Engineer | NLP & Computer Vision

Gabriel Adebayo

Starting at

/hr

About this service

Summary

I offer end-to-end AI and Machine Learning solutions that transform raw data into actionable insights, from data cleaning and model building to deployment-ready systems. What sets me apart is my ability to combine NLP, computer vision, and scalable deployment into a single solution, delivering not just models but fully functional AI systems that help businesses make smarter, data-driven decisions.

FAQs

Q1: What kind of projects do you handle?
I work on end-to-end machine learning and deep learning projects, including predictive modeling, classification, NLP, computer vision, recommendation systems, and automated pipelines.
Q2: Do you provide data collection and cleaning?
Yes! I set up data ingestion pipelines, gather data from multiple sources, clean, preprocess, and validate it for modeling.
Q3: What tools and technologies do you use?
I use Python, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Flask, FastAPI, Streamlit, Docker, and cloud platforms like AWS, GCP, or Azure.
Q5: How long does a project usually take?
Timeline depends on the project scope and data complexity, but I provide a clear schedule before starting so expectations are aligned.
Q6: Can you work with my existing data or models?
Yes. I can enhance, optimize, or integrate your existing models or datasets into an end-to-end pipeline.

What's included

Data Cleaning & Exploratory Analysis Report
A complete report of cleaned data, summary statistics, and insights from exploratory data analysis (EDA) to understand trends, distributions, and relationships.
Data Collection & Ingestion:
I gather data from various sources and set up automated end-to-end data pipelines to ingest, validate, and store the data efficiently for development.
Machine Learning / Deep Learning Model
A trained ML/DL model ready for predictions, including evaluation metrics and performance analysis.
Model Evaluation & Performance Report
A detailed report showing accuracy, precision, recall, F1-score, confusion matrix, or any other relevant evaluation metrics depending on the project type.
Deployment-Ready Solution
A working deployment setup using Flask, FastAPI, or Streamlit, with Docker and cloud-ready instructions for easy integration.
Code & Documentation
Well-organized, commented code along with step-by-step instructions so the client can run, modify, or scale the solution independently.
Interactive Demo or Dashboard
A live demo or dashboard for visualizing model predictions or interacting with the AI system.

Skills and tools

Data Scientist

ML Engineer

AI Engineer

AWS

MongoDB

Python

SQL

TensorFlow