ODUBAJO'S PORTFOLIO

Intro

I am a proficient data scientist adept in leveraging both descriptive and inferential statistics to aid my analytical process in deriving insights from data and building predictive models to aid decision making

I am also skilled working with SQL, Tableau, Python and flask. you can check out varieties of my past projects here.

HEART FAILURE PREDICTION APP

For this project, I built a flask app to predict heart failure using a classification model

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FLIGHT DELAY TIME PREDICTIVE MODEL

For this project, I built several regression models and evaluated thier performances

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CUSTOMER CHURN PREDICTIVE MODEL

For this project, I built an artificial neural network and evaluated its performance

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CUSTOMER PERSONALITY
CLUSTERING MODEL

For this project, I made use of both decision tree and random forest classifier to train my model and evaluated thier performance

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WATER POTABILITY PREDICTION
MODEL

For this project, I built two classification models and evaluated thier performance

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LOAN DEFAULT PREDICTOR

For this project, I made use of both decision tree and random forest classifier to train my model and evaluated thier performance

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LOAN DATA ANALYSIS AND
VISUALIZATION USING PYTHON

For this project, I made use of python to perform exploratory data analysis on loan data in order to assess relationships among various variables, create explanatory visualizations of distributions, correlations, and anomalies..

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EXPLORE FIFA PLAYER ABILTIES

This is just a personal project i decided to work on due to my interest in football.

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WRANGLE, CLEAN AND
ANALYZE TWITTER
DATA

In this project, I gathered data from multiple sources using python libraries such as Numpy, Pandas, JSON. I assessed the data both visually and programmatically after which i cleaned and analyzed the dataset gotten from the twitter account

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DISEASE OUTBREAK
DATA CLEANING
AND EXPLORATION IN SQL

This project contains SQL queries written to clean and query a disease database for key insights..

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TABLEAU DASHBOARDS

Interactive dashboards to visualize insights derived from datasets.

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About

I am a Mechanical Engineering graduate with a Second-Class upper degree, whose academic foundation is complemented by over two years of extensive experience as a highly qualified Data Scientist and Analyst. Throughout my professional journey, I have shown commitment to excellence is exemplified by my participation in continental hackathons, culminating in securing first place in my home nation..

Contact

• Github
• linkedin
• Email
• Medium

Elements

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