HELLO. I’M OLAMIDE OKUNOLA
A BIT ABOUT ME
Your One-Stop Data analyst
I’ve always had a passion for data analysis and a fascination with the digital world, so it was perhaps inevitable that I would become a junior data analysis/professional Python Developer. While I’m based in Lagos, I've also done several remote overseas internships in the past worked with clients from all over the country as well as abroad via freelancing.
Since 2020, I’ve provided businesses and individuals with a wide range of services as either a member of a small development team or as a solo coder. Get in touch with me today and see how I can help you bring your ideas to life.
MY WORK EXPERIENCE(S)
Organisations I’ve Worked With
HAMOYE DATA SCIENCE INTERNSHIP PROGRAM
I was actively involved as co-team leader in one of the capstone projects whereby all interns were grouped into different project groups.
My capstone project group(Project Adaboost) were able to work on the dataset consisting of men professional basketball- stats on players, teams, coaches of men pro-basketball leagues (1937-2012) whereby I was able to visualize the team performance over the year.
I analysed the data given for each teams in the NBA between 1932-2012.
I employed different machine learning algorithm in training the data base model for the dataset
SIDEHUSTLE4.0
I was actively involved as co-team leader in one of the capstone projects whereby all interns were grouped into different project groups.
My group worked on a group of 50 students class data in which the aim was to find the percentage of students that failed in comparison to the ones that passed with respect to a certain condition.
I deployed machine learning algorithms on the class data projects of 50 students using the Spyder analytical tools.
FUN-MOOC(MACHINE LEARNING IN PYTHON USING SCIKIT-LEARN
After some weeks of going through video tutorials and mentorship, quize were carried out based on proposed projects which resulted in good performanca and awarding of certificate duely earned.
Data analysis
Committed to Quality
Python
An Ideal Framework
MY PAST PROJECTS
Analysis, Visualization & Machine Learning
Adaboost
I’m really proud of my work on this project, which was due to the efforts of me and my project mates. without the relentless efforts of me and my project mate, we wouldn't have made much progress. I was assigned to employ different machine learning algorithm in training our base model. While working on this project, I had to dig deep into my prior experience of providing personalized analysis service, and I’m proud to say the final product has received a lot of incredible feedback.
Aims & Objectives of Adaboost Project
Analysed the data of teams in the NBA between 1946 and 2011
Visualized the teams performance over the years
To employ different machine learning algorithm in training our base model.
Performed feature engineering and feature selection on the datasets to achieve best results.
Retrained the datasets till the best result is obtained
Job Fraud Detention(K-Means)
When it came to this project, I used my obsessive attention to detail and create an outstanding result. This project is a great example of my versatility and expertise of working in a team as a results-driven data analyst. For this project, a raw dataset containing fraudulent and real jobs from about 17880 job posting observations was used. The dataset was obtained from kaggle website; https://www.kaggle.com/subhajournal/job-fraud-detection
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Aims & Objectives of Job Fraud Detention Project
I’m really proud of my work on this project, in which me and my team members started slowly on the cause of reaching our goal for the project. This project aims was to develop a machine learning classifier that can achieve a reasonable performance in accurately identifying fake and real job advertisements without having a bias to the majority class.
