Samuel Okon

I'm a

About

As a machine learning engineer with two years of experience, I have a strong foundation in both computer science and data science. I have a passion for using machine learning techniques to solve real-world problems and have experience with a variety of machine learning frameworks and libraries, including TensorFlow, scikit-learn, and Keras. I have worked on a variety of machine learning projects, ranging from natural language processing to computer vision to time series analysis. In my current role, I have been responsible for building and deploying machine learning models in a production environment, as well as conducting data preprocessing and feature engineering. I have strong problem-solving skills and a track record of delivering high-quality results on tight deadlines. I am always eager to learn new techniques and technologies, and I am confident in my ability to quickly adapt to new environments and challenges. I am excited to continue growing and developing my skills as a machine learning engineer, and I believe I would be a valuable addition to any team.

Machine Learning Engineer & Data Scientist.

Some basic information about me!

  • Email: samueludofia94@gmail.com
  • City: FCT, Nigeria
  • Degree: Bachelor
  • Phone: +234 809-670-2056

I am passionate, ambitious and goal driven about my work. I thrive on challenge and constantly set goals for myself, so I have something to strive toward. Because I love what I do, I have a steady source of motivation that drives me to do my best. In my last project, this passion led me to challenge myself daily and learn new skills that helped me to do better work. For instance, I taught myself how to use FastApi jinja2 template engine to create a web application that streams live webcam video. I'm constantly looking for opportunity to do better and achieve greatness.

Facts

Here are some fun facts about me!

Happy Clients- From freelancing and working on projects, i've made over 50 happy clients!

Projects- I have worked on over 50 projects on ML, AI, IoT combined!

Hard Skills

My core skills!

Machine Learning & AI90%
TensorFlow (Keras) 85%
Python90%
FastApi90%
Pandas90%
PyTorch80%
R70%
Data Wrangling and Exploration95%
Nvidia DeepStream85%
Mediapipe80%
OpenCv 80%
SQL80%
Numpy95%
Azure ML85%

Soft Skills

My Soft Skills!

Problem-Solving95%
Critical Thinking 90%
Ability to work under pressure 100%
Teamwork & Collaboration 100%
Organization & Time Management100%
Great Communition100%

Resume

Summary of my resume highlighting my professional experience, skills, and achievements.

Summary

Samuel Okon

Innovative and deadline-driven Machine Learning Engineer with 2+ years of experience designing, developing and deploying efficient ML models on cloud and on edge platforms.

  • Modern Shelters, Life-Camp, Abuja, NG
  • (234) 809-670-2056
  • samueludofia94@gmail.com

Education

Bachelor of Science in Electrial & Electronics Engineering

01/2017 - 01/2022

Federal University of Technology Owerri, NG

GPA: 4.15/5.0

  • Member of IEEE.
  • Completed professional development in HSE training.

Data Analyst

07/2022 - 08/2022

Udacity School of Data Science.

Professional Experience

Machine Learning Engineer

09/2022 - Present

Zimmermann B.V, Amsterdam, Netherlands

  • Developed a custom object detection model that automatically detects and redacts signatures, names, email addresses and phone numbers in PDF files with an accuracy of 92% utilizing TensorFlow, YOLOv5, OpenCV and transformers
  • Queried the IATI.Cloud database programmatically to download 1048984 documents and extracted all the document links using Fast API
  • Collaborated with a senior data engineer in the design and implementation of a machine learning model for the purpose of extractive summarization of documents, with the resulting output indexed to Apache Solr.
  • Managed an ML lifecycle: from data collection and preparation, model training, deployment to constantly updating the required parameters to keep the model accurate.
  • Created an ML pipeline to preprocess dataset, fill missing values, train, perform hyper parameter tuning and model evaluation using Scikit-Learn, Pandas and Numpy.
  • Contributed to a Global Fund Project and played a crucial role in helping the company meet its deadline by significantly improving the accuracy of a machine learning model by 30%. This achievement was crucial in enabling the company to meet its project goals and commitments on time.
  • Extracted and assessed data from databases using SQL to drive improvement of product development.

Machine Learning Intern

12/2021 - 07/2022

Zummit Africa, Lagos, NG

  • Implemented a real-time face-recognition system to recognize the company's employees, achieving an accuracy of 90%. This system has proven to be a valuable asset for the organization, streamlining the process of identifying and verifying employees in real-time
  • Led the design and development of a self-service knowledge-base chatbot using the RASA framework and successfully reduced customer support calls by 50% through the implementation of the chatbot
  • Led the design and development of a self-service knowledge-base chatbot using the RASA framework and successfully reduced customer s upport calls by 50% through the implementation of the chatbot
  • Designed custom CUDA kernel functions to accelerate deep learning models running on CUDA GPUs by 30%
  • Improved accuracy of a CNN model by 30% using TensorFlow data augmentation methods.
  • Managed and orchestrated ML pipelines and life-cycle using MLFlow.
  • Tested, validated and reformulated models to deliver accurate prediction of outcomes of interest.
  • Uplifted a machine learning project’s predictive model precision by 10%
  • Utilized Python and FastAPI to develop a movie sentiment analysis webapp.

Portfolio

Highlights of some of my core projects i've worked on over the past few years.

  • All
  • Computer Vision
  • Deep Learning
  • Data Science

Services

Here are some services I also offer.

AI & ML

I'm skilled at applying machine learning techniques like natural language processing computer vision and neural networks to build models that power AI applications and deployed to the cloud or edge devices.

IoT & Edge Computing

I also build and deploy IoT based projects on edge devices such as Jetson Nano, Raspberry-Pi, and Esp32.

Data Analyst

I perform data analysis on various kinds of data using tools like pandas, matplotlib and numpy.

Contact

Reach out to me!

Location:

Eartpoint, Modern Shelters, FCT, Abuja, Nigeria.

Call:

+234 809-670-2056

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