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Hello there, I'm Olamilekan.

Olamilekan is enthusiastic about anything related to Data and fits in roles as A Data Scientist, a Machine Learning Engineer, and a Data Analyst. I solved day-to-day problems using a data-driven approach with a keen eye for patterns and trends in data to draw out meaningful insight.


👯 I’m looking to collaborate on projects or any Data roles (remotely or hybrid) via [email protected]

Skills: Tools and Framework 📊

Python MySQL PowerBI Excel

Tensorflow Heroku Azure Django Flask Git GitHub

HTML5 CSS C Shell Script

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Olamilekan Omotosho's Projects

3mtt-program icon 3mtt-program

As a Data Science trainer at [AI] Academy, a pilot training provider for the 3MTT program, where I coached 3MTT fellows on AI/ML. The 3MTT program is a Nigeria program, organized by the Federal Ministry of Communications, Innovation & Digital Economy under the visionary leadership of Dr. ‘Bosun Tijani.

ai-hacktober-mlsa icon ai-hacktober-mlsa

Contributing to cutting-edge open-source projects in Machine Learning hosted my MLSA Nigeria

alx-pre_course icon alx-pre_course

I'm now a ALX Student, this is my first repository as a full-stack engineer

alx-zero_day icon alx-zero_day

I'm now a ALX Student, this is my first repository as a full-stack engineer

analysis-of-tax-awareness-and-payment-in-nigeria icon analysis-of-tax-awareness-and-payment-in-nigeria

This project provides a comprehensive analysis of tax awareness and payment behaviors in Nigeria. It derives its findings from a survey of over 16,000 individuals spanning all Nigerian states, including the Federal Capital Territory (FCT).

de-zoomcamp-ui icon de-zoomcamp-ui

🎨 UI for the Free Data Engineering Zoomcamp 2023 Course provided by DataTalksClub

deep-learning-nn icon deep-learning-nn

This contains all Andrew Ng Neural Network assignments for my deep learning course requirements

drone-fault-tester icon drone-fault-tester

UmojaHack Africa 2022 #3: Faulty Air Quality Sensor Brief Description The objective of this challenge is to create a classification model to identify a device has an off set fault or not, regardless of the device. The model can be used by AirQo to automatically flag a device that is returning faulty data., have a look on Zindi.

expresso-customer-churn-prediction icon expresso-customer-churn-prediction

This repository explains how to predict customer churn. An Hackathon Organized by Data Science Nigeria(DSN-AI) to help Expresso predict customer Churn. My 2nd place solution, log_loss of 0.246675. I've also added a section in the notebook to get a score of 0.246643, which could be the unofficial 1st place solution.

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