Chike Odenigbo
The

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About

The Present

Chike Odenigbo is a graduate of the Bachelor of Commerce Program at McGill University and is presently working as a data scientist at Bell Canada. As a student, Chike participated in various conferences and hackathons across North America, and was intrigued by the disruptive potential of Big Data. He also completed analytics internships in banking and loyalty marketing.

The Past

Prior to attending McGill, Chike completed his DEC at Dawson College where he was also a member of the school's Division 1 Men's Basketball Team. His time as a basketball player was crucial in developing his resiliency, ability to work in teams and leadership skills.

Prior to attending McGill, Chike completed his DEC at Dawson College where he was also a member of the school's Division 1 Men's Basketball Team. His time as a varsity basketball player was crucial in developing his resiliency, ability to work in teams and leadership skills.

The Future

Chike's experiences have emboldened him to leave a positive mark on the world. Realizing the value of the support he has received thus far, Chike looks to give back to the next generation.

BCom 100 Campaign

Chike also had the honour of being featured in the 100 year anniversary celebration of the Bachelor of Commerce Program at McGill University. Attending McGill was extremely beneficial for Chike's career as he was surrounded by bright minds as well as exposed to a global network.

Chike also had the honour of being featured in the 100 year anniversary celebration of the Bachelor of Commerce Program at McGill University. Attending McGill was extremely beneficial for Chike's career as he was surrounded by bright minds as well as exposed to a global network.

Resume

Education

Aug 2016 - Jan 2020
2016-2020
McGill University - Desautels Faculty of Management
McGill University
Bachelor of Commerce
Jan 2014 - May 2016
2014-2016
Dawson College
Diploma of College Studies

Work Experience

Jun 2020 - Present
Present
Bell Canada
Data Scientist
Jan 2020 - Jun 2020
2020
LoyaltyOne
Analytics & Insights Analyst Intern
May 2019 - Aug-2019
2019
TD Bank Group
Analytics & Data Science Intern
Jun 2018 - Dec 2019
2018-2019
McGill University
Business Systems Analyst Intern, VBA Developer

Accomplishments

  • McGill Business Review
    • Set the record for views with my article on reserve currencies
  • Jackie Robinson Scholarship Recipient
    • Recipient of the Jackie Robinson Scholarship for leadership and good academic standing
  • Adele Ivy MacDonald Scholarship Recipient
    • Recipient of the Adele MacDonald Scholarship for strong academic standing as a varsity athlete
  • RSEQ Student Athlete Recognition
    • Recognized as one of the top 8 student-athletes in the province of Quebec for the Division 1 Men's Basketball Category for the 2015-2016 season

Skills

  • Machine Learning
    • Python, R, SAS
  • Data Visualization
    • Python, R, Tableau, Power BI, Power View
  • Reporting
    • Python, R, Tableau, Power BI, SAS, MySQL
  • Process Automation
    • Python, R, VBA, Java, MySQL
  • Web Development
    • HTML, CSS, Javascript
  • Web Scraping
    • Python, R

Projects

The Impact of the Energy Sector on Air Pollution

Abstract
The purpose of this paper is to measure the impact of the energy sector on air pollutants in the United States. The study used statistical methods such as regressions, principal component analysis and random forests to assess the impact of consumption and production of various sources of energy on the total amount of pollutants present in the air at an annual level in the United States. Though further study would be required to conclude causality, there was a strong correlation between the energy industry output and air pollutants.
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Optimizing Yelp Review Quality

Abstract
The goal of this paper is to develop a data driven strategy to enhance the experience of Yelp users. For this project, my team and I used natural language processing methods to create a score that was assigned to each review which was then categorized as being either a good or a bad review based on the score. A gradient boosting algorithm was then used to determine variable importance in this score as well as to run a predictive model on the data.
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Kickstarter Project Analysis

Abstract
The intention of this paper is to assess what makes a good project on kickstarter, which is a crowd sourcing platform. To do so, an artificial neural network and a random forest were both used to predict the amount of money a project would raise. K Means clustering methods were also used to determine if there were multiple segments from which the predictive models would be able to run on separately.
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Contact

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