ogsiji Goto Github PK

followers: 37.0 following: 107.0 repos: 75.0 gists: 0.0

Name: Ogunniran Oluwasijibomi

Type: User

Company: @meritcapital

Bio: Senior Data Professional | Driving Optimal Data Pipeline Performance | Leading Advanced Analytics Initiatives

Twitter: OGsiji

Location: Nigeria

Blog: www

Hi there 👋

Hi there, I'm Ogunniran Oluwasijibomi - aka OGsiji 👋

There~ has been 👋 √î$î†ø®$ to this page

Senior Data Professional | Driving Optimal Data Pipeline Performance | Leading Advanced Analytics Initiatives

👯 I’m looking to collaborate with other Research and Development Team
💻 You can find my articles on Hashnode and Meduim
🥅 Currently building Transrisk
💻 OS - Linux (Ubuntu), Mac, Windows.
👯 looking to collaborate on world-changing projects.
💬 you can ask me about anything.
⚡ Fun fact: I love to draw and play volley ball
⚡ Whenever I'm not on my laptop coding, I am either making Data Science/Machine learning related Blog posts, Twitter threads, LinkedIn posts,Mentoring a beginner, showing them the right roadmap to learning data science, learning a new dance step, in my space rapping to a beat or improving my singing & drumming skills.

Projects I'm proud of

☀️ Projects	💬 Description
Quora-Question-Pair-Similarity-Deployed-on-Flask!	Identify which questions asked on Quora are duplicates of questions that have already been asked.
Sectrics - Truss Analysis Calculator!	The Sectrics application is a Truss Analysis Calculator made to find the forces in each member, being tensile or compressive using the Finite Element Method. This program was part of the HSC course in Australia as part of my major project, as such this program is NOT intended to be used for real life structural analysis and therefore we take no responsibility for harm from the misuse/misfunctioning of this program.
TransRisk Innovation	This model predicts the occurence of Taffic Accidents in Nigeria, there are also aspects of automated data extraction and modelling

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Ogunniran Oluwasijibomi's Projects

airflow

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

airflow-tutorial

Data Engineer Project: An end-to-end Airflow data pipeline with BigQuery, dbt Soda, and more!

ajax-movie-recommendation-system-with-sentiment-analysis

Content-Based Recommender System recommends movies similar to the movie user likes and analyses the sentiments on the reviews given by the user for that movie.

allaye

This repo contains readme and info about the owner of this repo, yes i mean me✌🤞🚀

atm-project

A simple cpp project for ATM transactions

attention-models

Neural Machine Translation with Attention

awesome-github-profile-readme-templates

This repository contains best profile readme's for your reference.

aws-pipeline

Zillow Data Analytics (RapidAPI) | End-To-End Python ETL Pipeline

booking-app

This is a simple booking app with GoLang

cotton-disease-prediction-deep-learning

The 2019 novel coronavirus (COVID-19) presents several unique features. While the diagnosis is confirmed using polymerase chain reaction (PCR), infected patients with pneumonia may present on chest X-ray and computed tomography (CT) images with a pattern that is only moderately characteristic for the human eye Ng, 2020. COVID-19’s rate of transmission depends on our capacity to reliably identify infected patients with a low rate of false negatives. In addition, a low rate of false positives is required to avoid further increasing the burden on the healthcare system by unnecessarily exposing patients to quarantine if that is not required. Along with proper infection control, it is evident that timely detection of the disease would enable the implementation of all the supportive care required by patients affected by COVID-19. In late January, a Chinese team published a paper detailing the clinical and paraclinical features of COVID-19. They reported that patients present abnormalities in chest CT images with most having bilateral involvement Huang 2020. Bilateral multiple lobular and subsegmental areas of consolidation constitute the typical findings in chest CT images of intensive care unit (ICU) patients on admission Huang 2020. In comparison, non-ICU patients show bilateral ground-glass opacity and subsegmental areas of consolidation in their chest CT images Huang 2020. In these patients, later chest CT images display bilateral ground-glass opacity with resolved consolidation Huang 2020. COVID is possibly better diagnosed using radiological imaging Fang, 2020 and Ai 2020.