Okolie C. Profile

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$20 USD / hour

lagos,

nigeria

$20 USD / hour

It's currently 1:31 PM here

Joined May 10, 2019

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Okolie C.

@chukypedro15

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(0 reviews)

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$20 USD / hour

lagos,

nigeria

$20 USD / hour

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Data scientist/Web Scrapper

Experienced Web Scrapper with a demonstrated history of working in the Nigerian financial services industry. Skilled in Business Planning, Data Scientist, Machine Learning, Microsoft Excel, and Python, web Development, and Web Scraping. A strong business development professional with a Bachelor's degree focused on Ind Physics from the University of Benin. I have successfully completed serries of a project on Web scraping(scrapped Tutsplus, Konga, page, quotes, etc), Website development(Oda, Plex), Building Business Models using powerful python libraries(Sklearn, pandas, Numpy, Scipy, Excel).

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Experience

ANDELA

Feb 2016 - Present

I will provide you data in any format including CSV, JSON, XLXS, etc. I have more than 4 years of experience in Web Scraping, Data Mining, Scripting, custom scraper development. I can scrape any kind of website, ranging from small, big, complicated and database. I have completed 300+ assignments successfully. Please feel free to contact me for scraping any kind of website, directories or any other data source. I can achieve all your project goals under minimal time.

Education

Computer Engineering

University of Michigan - School of Information,

United States

2012 - 2016

(4 years)

Qualifications

Udemy

2016

Web Scraping nowadays has become one of the hottest topics. And this course has made it possible for websites to become one of my major sources of data for analysis. With the current rise in big data, The is a greater need for us to strategies the best possible means to acquire this data, and web scrapping has made it possible to acquire this data with ease

Cousera

2018

As the world's data grow exponentially, organizations across all sectors, including government and not-for-profit, need to understand, manage and use big, complex data sets—known as big data.

Datacamp

2018

This course covers the essential exploratory techniques for summarizing data. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are also important for eliminating or sharpening potential hypotheses about the world that can be addressed by the data.