Femi Onafalujo MBA, P.Eng, PMP
Data Scientist at Numida (YC W22)- Claim this Profile
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Bio
Brooke Sophia Ramsay , PCC
I know Femi as an MBA classmate who stands out for his insightful questioning and critical thinking skills. He is a very principled and dedicated person who is able to connect with diverse people and to bring a calm and focused demeanour to any group. Femi has inspired me in the ways he takes his own personal and professional growth seriously and how he lives as an example of a true life-long learner.
Brooke Sophia Ramsay , PCC
I know Femi as an MBA classmate who stands out for his insightful questioning and critical thinking skills. He is a very principled and dedicated person who is able to connect with diverse people and to bring a calm and focused demeanour to any group. Femi has inspired me in the ways he takes his own personal and professional growth seriously and how he lives as an example of a true life-long learner.
Brooke Sophia Ramsay , PCC
I know Femi as an MBA classmate who stands out for his insightful questioning and critical thinking skills. He is a very principled and dedicated person who is able to connect with diverse people and to bring a calm and focused demeanour to any group. Femi has inspired me in the ways he takes his own personal and professional growth seriously and how he lives as an example of a true life-long learner.
Brooke Sophia Ramsay , PCC
I know Femi as an MBA classmate who stands out for his insightful questioning and critical thinking skills. He is a very principled and dedicated person who is able to connect with diverse people and to bring a calm and focused demeanour to any group. Femi has inspired me in the ways he takes his own personal and professional growth seriously and how he lives as an example of a true life-long learner.
Credentials
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Data Science Career Track Certificate of Completion
SpringboardOct, 2021- Nov, 2024
Experience
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Numida (YC W22)
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Financial Services
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1 - 100 Employee
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Data Scientist
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Apr 2022 - Present
Managing a variety of models used for disbursement of working capital loans to under-served businesses. - Developing and monitoring credit scoring models - Developing and monitoring loan-sizing models - Developing and monitoring auto-approval loan decisions - Developing data models to support Product and Operations innovations Managing a variety of models used for disbursement of working capital loans to under-served businesses. - Developing and monitoring credit scoring models - Developing and monitoring loan-sizing models - Developing and monitoring auto-approval loan decisions - Developing data models to support Product and Operations innovations
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Springboard
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United States
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E-Learning Providers
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700 & Above Employee
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Data Science Fellow
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Jul 2020 - May 2022
Rent Data Analysis and Prediction • Developed a regression model to predict the price of rental units. Data set included over 250,000 rows of rental units. • Trialed various algorithms including Lasso, Random Forest and XGBoost, with hyperparameter tuning. • Best model used the XGBoost algorithm with a cross-validated r-squared score of 0.87 and mae of €92.04. Lead Conversion Analysis and Prediction • Built a classification model to predict clients request to a sales offer… Show more Rent Data Analysis and Prediction • Developed a regression model to predict the price of rental units. Data set included over 250,000 rows of rental units. • Trialed various algorithms including Lasso, Random Forest and XGBoost, with hyperparameter tuning. • Best model used the XGBoost algorithm with a cross-validated r-squared score of 0.87 and mae of €92.04. Lead Conversion Analysis and Prediction • Built a classification model to predict clients request to a sales offer, with a dataset of over 40,000 transactions. • Tested various algorithms including Random Forest and Logistic Regression, with hyperparameter tuning. • Resolved data imbalance issues with SMOTE and other undersampling and oversampling techniques. • Best model used the Logistic Regression algorithm with an AUC-PR score of 0.47 and AUC-ROC score of 0.80. Show less Rent Data Analysis and Prediction • Developed a regression model to predict the price of rental units. Data set included over 250,000 rows of rental units. • Trialed various algorithms including Lasso, Random Forest and XGBoost, with hyperparameter tuning. • Best model used the XGBoost algorithm with a cross-validated r-squared score of 0.87 and mae of €92.04. Lead Conversion Analysis and Prediction • Built a classification model to predict clients request to a sales offer… Show more Rent Data Analysis and Prediction • Developed a regression model to predict the price of rental units. Data set included over 250,000 rows of rental units. • Trialed various algorithms including Lasso, Random Forest and XGBoost, with hyperparameter tuning. • Best model used the XGBoost algorithm with a cross-validated r-squared score of 0.87 and mae of €92.04. Lead Conversion Analysis and Prediction • Built a classification model to predict clients request to a sales offer, with a dataset of over 40,000 transactions. • Tested various algorithms including Random Forest and Logistic Regression, with hyperparameter tuning. • Resolved data imbalance issues with SMOTE and other undersampling and oversampling techniques. • Best model used the Logistic Regression algorithm with an AUC-PR score of 0.47 and AUC-ROC score of 0.80. Show less
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Coril Holdings Ltd.
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Canada
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Investment Management
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1 - 100 Employee
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Business Analyst / Project Manager
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Jul 2019 - Jul 2020
Established a framework for determining, assessing and prioritizing Business Process Information Technology projects within functional departments. Coordinated discovery activities with departmental members to percolate pain points and opportunities that could benefit from software solutions. Developed business process flowcharts to highlight and categorize pain points and / or opportunities for consideration in generating product and project requirements. Currently managing a project… Show more Established a framework for determining, assessing and prioritizing Business Process Information Technology projects within functional departments. Coordinated discovery activities with departmental members to percolate pain points and opportunities that could benefit from software solutions. Developed business process flowcharts to highlight and categorize pain points and / or opportunities for consideration in generating product and project requirements. Currently managing a project to implement an office-wide expense management system, with credit card and travel booking integration.
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Research Analyst
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Jan 2018 - Jul 2019
Business analysis of emerging technologies, to include Blockchain, IoT, Big Data and AI, for maturity and adoption in Coril's business verticals. Emphasis on the application of emerging technologies in the real estate, railway and healthcare industries. Development of a digital strategy to direct management efforts in maturing as a digital organization.
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Shell
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United Kingdom
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Oil and Gas
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700 & Above Employee
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Project Delivery Engineer
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Jan 2013 - May 2016
Responsible for the engineering, procurement, and construction activities associated with the delivery of Well sites and pipelines. Managed Function Leads to assure quality, cost and schedule project performance. Managed vertical and horizontal communication of project status to ensure the alignment of critical project stakeholders.
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Operations Engineer
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Jun 2009 - Dec 2012
Engineered alterations to brownfield Heavy oil and gas facilities to improve process safety, operational performance, and operational integrity. Chaired and participated in HAZOPs, HAZIDs, and other Process Hazard Analysis activities to eliminate safety risks in design. Closed out HAZOP action items through the execution of onsite MOCs, while ensuring cost-competitive designs.
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Education
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2020 - 2021
Springboard
Data Science Career Track -
2016 - 2018
University of Calgary
Master of Business Administration (MBA), Business Administration -
2004 - 2009
University of Manitoba
Bachelor of Science - BS, Mechanical Engineering
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