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Femi Okemakinde

Femi Okemakinde

Research Data Scientist

Energy Storage Conversion Lab.

Technologies

My Portfolio Highlights

My New Notebook

Company Bankruptcy Prediction

My New Notebook

Business Owners Clustering Model

My New Notebook

Exploratory Data Analysis and Models Training for House Prices

My New Notebook

Company Bankruptcy Prediction

From Raw Data to Actionable Intelligence: My Data Science Odyssey.

My Work

Take a look at my latest work.

DataLab

A Visual History of Nobel Prize Winners

2Upvotes
DataLab

How Old Is This Abalone?

1Upvotes
DataLab

The Android App Market on Google Play

1Upvotes
DataLab

Chocolate Bars Analysis

1Upvotes
notebook

Company Bankruptcy Prediction

notebook

Book Recommendation Engine using KNN

notebook

Exploratory Data Analysis and Models Training for House Prices

notebook

Business Owners Clustering Model

DataLab

A Visual History of Nobel Prize Winners

2Upvotes

My Certifications

These are the industry credentials that I’ve earned.

Other Certificates

Kaggle Python

freeCodeCamp Scientific Computing with Python

Google Crash Course on Python

freeCodeCamp Data Analysis with Python

IBM Python for Data Science, AI & Development

Kaggle Intro to Machine Learning

University of Michigan Applied Machine Learning in Python

DataCamp Exploratory Data Analysis with Python

WorldQuant University Applied Data Science Lab

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Intermediate Python
Understanding Data Science
Data Manipulation with pandas

My Work Experience

Where I've interned and worked during my career.

WorldQuant University | Mar 2023 - Sep 2023

Applied Data Science Lab

- Built random forest and gradient boosting models to predict company bankruptcy with a precision of 97%. I addressed imbalanced data and considered the impact of performance metrics; precision and recall. - Acquired stock data from the AlphaVantage stock API, cleaned and stored it in an SQLite database. Subsequently, I created a GARCH time series model to predict asset volatility. - Conducted six other end-to-end projects, extracting data from files, databases, and APIs. Produced visualizations for stakeholders and non-technical audiences.
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Energy Storage Conversion Laboratory | Sep 2022 - Present

Research Data Scientist

- I work with cross-functional teams on projects from several companies, like Hyundai, LG, and Nissan, on the battery management systems of electric vehicles. - I leverage data science and machine learning for electric vehicle applications, conducting in-depth battery tests, analyzing experimental data, and creating advanced models for battery state estimation. - Set up a temperature-aware gradient descent incorporating feature engineering, resulting in over 95% state-of-charge estimation accuracy. - Developed a neural network model for lithium-ion battery state-of-charge estimation, reducing estimation error to 3%.

DataCamp | Jan 2022 - Sep 2022

Data Science Bootcamp

- Learned and gained the career-building Python skills needed in the exciting field of data science—from data manipulation to machine learning algorithm implementation. - Performed EDA on the real-world project repository of Scala with almost 30,000 commits and a history of over ten years to determine who has had the most influence on its development. - Built a regression model with 98% accuracy to predict abalone age, aiding farmers in avoiding the stressful procedures of counting the number of rings in a shell cross-section through a microscope. - Conducted an extensive analysis of the Android app market, comparing over 10,000 apps in Google Play across various categories to provide developers with valuable insights for informed decision-making.

Crowel Studios Limited | Apr 2021 - Aug 2022

Design Engineer

- I generated innovative designs by thoroughly analyzing technical blueprints utilizing advanced Computer-Aided Design (CAD) software. - Additionally, I took the lead in refining and iterating structures based on comprehensive analysis, ensuring alignment with specifications and sustainability standards. - Collaborated closely with cross-functional teams, fostering a synergistic environment that seamlessly integrated design concepts into the broader project objectives.

My Education

Take a look at my formal education

Master of Science - MS in Electrical EngineeringChungnam National University | 2024
Bachelor of Engineering - BEng in Mechanical EngineeringFederal University of Technology Akure | 2019

About Me

Femi Okemakinde

Enthusiastic data scientist eager to contribute to team success through hard work, attention to detail, and excellent organizational skills. Clear understanding of mining and cleaning of data, and continuous training on machine learning models.

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