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Ifechukwudeni Oweh
Port Harcourt, Nigeria
I'm an Enthusiastic Machine Learning Developer, skilled proficiently in Python, PHP, C React.JS, and React Native. Experienced in migrating codebases with different frameworks, creating machine learning models with a variety of machine learning algorithms, creating APIs/ Microservices with Python Flask Framework, and Integrating API keys. Skills in algorithm design and algorithmic problem-solving.
CodersRank Score
What is this?
This represents your current experience. It calculates by analyzing your connected repositories. By measuring your skills by your code, we are creating the ranking, so you can know how good are you comparing to another developers and what you have to improve to be better
Information on how to increase score and ranking details you can find in this blog post.
1,270.1
CodersRank Rank
Top 1%
Highest experience points: 0 points,
0 activities in the last year
Python
166.5
exp.
Jupyter Notebook
99.1
exp.
PHP
38.2
exp.
JavaScript
210.3
exp.
HTML
102.4
exp.
CSS
117
exp.
JSON
183.8
exp.
SCSS
91
exp.
TypeScript
54.4
exp.
CoffeeScript
21.4
exp.
Batchfile
23.6
exp.
EJS
40.9
exp.
Vue
29.7
exp.
Add some compelling projects here to demonstrate your experience
Omark
Mar 2022 - Mar 2022
Omark is a Python library that implements a linear search algorithm with a facial recognition module, on a database of pictures. It captures a picture of a group of people and determines who is absent from the picture, who is present in the picture and how many people are in the picture. An implementation of this in a real-world scenario is in taking class attendances, it captures a picture of a classroom and then performs a linear search algorithm on a database to determine which student is in class and which student isn't.
Implementation of Pointers in Python
Mar 2022 - Mar 2022
It is widely known that there aren't Pointers in Python and there is only one way of assigning variables in python, but this project creates a new method of assigning variables in python and can be implemented in large-scale projects and make it more efficient. Source Code and Preview is the GitHub repository.
Sentiment Analysis Api
Apr 2022 - Apr 2022
The Sentiment Analysis API was created using the python flask module, parsing a text or sentence can parse the (text) argument, and a JSON encoded response is given with the detailed sentiment analysis of that sentence including information such as the Text Parsed, the Sentiment Level of the text, the sentiment polarity of the text and the sentiment subjectivity of the text. It can be implemented and embedded into a web application.