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Ifeanyi E.

@datangel

5,0
1
0,0
0,0
100%

Data Scientist | Machine Learning | Data wrangling

$18 USD / jam
・
Bendera
Nigeria (4:58 AM)
・
Bergabung Januari 8, 2023
$18 USD / jam
・
I am a enthusiast, with strong background in statistics and computer science. I have a degree in engineering. I have demonstrated proficiency with my computer software knowledge working on data related projects. I have expertise in a variety of tools and techniques, including machine learning algorithms, data visualization software, and programming language such as Python. In my previous roles, I have successfully used data to drive business decisions, improve efficiency, and optimize customer experiences. I am a strong communicator and enjoy working with cross-functional teams to translate complex data insights into actionable recommendations. I am always looking for new opportunities to apply my skills and make a positive impact through data science.
Verifikasi
Tepat waktu
100%
Sesuai anggaran
100%
Tingkat diterima
100%

Portofolio

Portofolio

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Perubahan disimpan
5.0 · 1 Review
Ulasan
Z
Great work Really appreciated!
Muhammad Z.
@zaidkhan43333
•
Bendera
Karachi, Pakistan
•
1 tahun yang lalu
Bagikan
Pengalaman
Data specialist
Agu, 2020 - Jan, 2021
•
5 bulan
MoneyPigeon
Agu, 2020 - Jan, 2021
•
5 bulan
Fintech company that helps users generate virtual card for payments in three different countries Design and development of manager dashboard using API request call
Agu, 2020 - Jan, 2021
•
5 bulan
Edukasi
badge
2022 - 2023
•
1 tahun
Bendera
United States
2022 - 2023
•
1 tahun
University of Nigeria
2015 - 2021
•
6 tahun
Bachelor of Engineering
Bendera
Nigeria
2015 - 2021
•
6 tahun
Kualifikasi
Applied Data Science Badge
2023
WorldQuant University
Completed eight end-to-end, applied data science projects. In each project, I accessed data from files, SQL and NoSQL databases and APIs. I have demonstrated their ability to explore and clean data, create functions and ETL pipelines to prepare training sets. I have built machine learning models for supervised and unsupervised learning tasks, and created visualizations to explain data characteristics and model predictions for non-technical audiences.
2023
Publikasi
store performance
Ifeanyi
Analysis on store performance using machine learning
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