Position: Data Scientist/Machine Leaning Engineer
Category: Data Science
English level: fluent
Years of experience: 4

in my career as a data scientist and machine learning engineer, I've accomplish some thing which include:
1. I am currently the Lead for Campus Data Sciene Nigeria at Federal University Lokoja
2. I was able to qualify for the DSN BootCamp in 2021
Hello everyone! I'm an AI Engineer with over three years of experience developing cutting-edge AI solutions. During this time, I've gained extensive knowledge of Machine Learning architectures, libraries, and frameworks. In a nutshell: - 3+ years of experience in AI Engineering - implemented ML algorithms for business - worked on Deep Learning & Computer Vision & Data Science research projects - worked with data: exploration, preparation, and pipeline building - deployed models to production - have a solid mathematical background - always improve understanding in state-of-the-art AI techniques, as well as advanced technologies and methods of advancement, - architectural style, adhere to best strategies to build scalable and advanced products Domains include: computer vision, natural language processing, data science, and reinforcement learning. - Programming languages and frameworks for generative AI
As a former data scientist on Fiverr, I help people to prepare data and train an effective and accurate model. I also work as a volunteer tutor at Data Science Nigeria 
 I've worked on numerous projects some of them are: 
1. Parkinson's disease detection which is focused on detecting Parkinson's disease in humans at an early stage, a machine learning model was developed with an accuracy of 98%, and overfitting and underfitting were avoided. 
2. C02 emission detection: To contribute to the community in the fight to reduce carbon (CO2). I trained and deployed a model which is capable of predicting the amount of carbon dioxide a vehicle is likely to emit to the environment base on some given features.
3. Image Recognition System: This project aims at building an image face recognition system using the cifar-10 data. I built and deployed a CNN model with an accuracy of 97% to recognize images outside the ones from the dataset (cifar-10)
I've also completed numerous capson projects on Coursera, Udacity, e.t.c which I gain more industrial experience after completion.