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Hi 👋, I'm Bashirudeen Opeyemi Ibrahim

I am a Data scientist, AI/ML Engineer and an Embedded System Engineer skilled with using Arduino. I am also a Pharmacist-in-training that is passionate about healthtech and its application to transforming healthcare delivery

Coding

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Connect with me:

boibash bashirudeen opeyemi ibrahim bashirudeen opeyemi ibrahim b.o.i_bash

Languages and Tools:

arduino git opencv pandas python pytorch scikit_learn seaborn tensorflow

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Bashirudeen Opeyemi Ibrahim's Projects

biosentvec icon biosentvec

BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences

datawiz icon datawiz

Agricultural Monitoring Systems Overview This dataset simulates real-time agricultural sensor data, providing a rich source of information to design and construct a robust data engineering solution.

expatify-data-science-test-using-airbnb-new-york-dataset icon expatify-data-science-test-using-airbnb-new-york-dataset

This assignment is aimed at assessing your ability to pose interesting analytical questions, process the data using the key steps of data analytics, such as data pre-processing, analyzing, and eventually preparing a reflective report. In order for your analysis to be compelling, it must address a substantive issue rather than a trivial one. Propose an interesting analytical question that can be answered using the given dataset. For example, let us consider a dataset, New York City Airbnb data available on [**Kaggle](https://www.kaggle.com/datasets).** You are advised to use this analytical question. ***Do surrounding Airbnb listings impact a property's rental price in New York City?*** You are to deliver in 2 days. Write a 1500 report from the analysis. Use Regression for your analysis. **Instructions** Submission should be sent to Expatify email: [email protected]. Ensure to use only journal articles in the review. Ensure your work is 100% original, plagiarism will disqualify you. Use the Harvard reference style for your reference.

generative-ai-with-llms icon generative-ai-with-llms

In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.

my-projects icon my-projects

DATA SCIENCE OPEN SOURCE PROJECTS THAT I HAVE WORKED ON

notebooks icon notebooks

Jupyter notebooks for the Natural Language Processing with Transformers book

utiva-data-hackathon-data-building-business-solutions-that-wins icon utiva-data-hackathon-data-building-business-solutions-that-wins

CredPal is a fintech company that develops point-of-sale credit infrastructure to ease consumer credit purchases and enables retail businesses to provide on-demand credit for the consumer population. Working from Lagos Nigeria, As an impact instrument, CredPal is designed to drive retail sales growth for merchants on an average of 23%. Can this number increase? Since inception, the emerging Fintech business has powered large businesses to as much as 16% growth, while small businesses have experienced up to 200% growth.Predictive Analytics of Credit Writing Last year, Stripe, a software technology company based in San Francisco decided to invest 2.9 million USD in CredPal. As part of the journey to understanding consumer’s saving capability, Stripe developed an internal project with the aim of analyzing consumers’ spending habits at different levels and regions. This analysis is critical because it aims to demonstrate the scalability of the CredPal solution and validate its argument that users (from different countries) have a spending pattern and a capability to save. Although your team disagrees with the objective of the study, yet you are supposed to work with a team of 10 to analyze the data set and extract relevant intelligence to help guide the investment team from Stripe.

vinyllx icon vinyllx

Gas sensor for VinyIIX, built with arduino uno micropre

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