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Hi there 👋

My name is Opeyemi Bamigbade. A Data Scientist, Machine Learning and Systems Engineer. I combine my systems design, software and data science knowledge to build data-driven products that scale and solve problems.

A PhD student with a research focus on Computer Vision Techniques for Digital Image & Video Forensic Geolocation👨🏻‍💻

Opeyemi's github stats

  • 🔭 I Created TMOST. An open-source, topic modelling tool built on Natural Language Processing that enables users to preprocess, build, generate and download model reports on topic modelling without the need to code.
  • 🌱 I'm Contibutor to Danfojs. An open-source, JavaScript library providing high-performance, intuitive, and easy-to-use data structures for manipulating and processing structured data.
  • 🌱 I enjoy doing MLOps, ML-on-GCP, and web development for Ai products.
  • 👯 I’m looking to collaborate on open-source tools for data science and machine learning.
  • 💬 Ask me about Machine Learning and Data Science.
  • 📫 How to reach me: Email ([email protected]) Twitter, Linkedin.
  • ⚡ I'm open to work!

✍🏼 My latest writings are:

See more of my technical articles on Medium

Learn more about me via My Portfolio

Bamigbade Opeyemi's Projects

building-social-network icon building-social-network

This project utilizes the MERN approach to building modern web applications which in this case is a social network platform.

covid-xprize icon covid-xprize

Open-source repository containing examples and documentation for the Cognizant XPRIZE Pandemic Response Challenge

datasist icon datasist

A Python library for easy data analysis, visualization, exploration and modeling

datasist-doc icon datasist-doc

Official documentation for datasist: Python library for easy data analysis, modeling, visualization and feature engineering)

decision_support_system icon decision_support_system

Gleason Score Prediction for Prostate Cancer. The intensity of prostate cancer metastasis in using artificial intelligence

deep_surveillance icon deep_surveillance

Deep_Surveillance Monitor with neural networks capable of detecting genuine information through a Face Detector with Emotion, Age and gender Recognition. This Deep_Surveillance will leverage the computer vision capabilities for simplicity and complexity as the case may be

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