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Tobi Bolu

@tobibolu

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I'm a Data Analyst, based in Lagos, Nigeria

Nigeria

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What I'm looking for

I am Oluwatobiloba Bolu, a seasoned Data Analyst with a robust background in leveraging data-driven insights to steer strategic decision-making. Hailing from Lagos, Nigeria, I bring a wealth of experience in analyzing and interpreting complex datasets, implementing machine learning solutions, and contributing to the development of impactful business strategies.

My professional journey includes significant roles at Billups Inc and gomoney Financial Services, where I spearheaded projects ranging from accelerating project processing time through code optimization to developing and maintaining predictive churn models. I am well-versed in a comprehensive array of data analysis tools, programming languages, and machine learning frameworks, showcased through my hands-on experience with SQL, Python, R, Tableau, PowerBI, and more.

My commitment to excellence is evident in the successful implementation of automated dashboards, the creation of ETL pipelines for streamlined data processing, and the development of models that significantly reduce customer churn and enhance customer acquisition.

Having earned a Data Analyst Nanodegree from Udacity, along with a PGDip in Computer Science from Swansea University and a BA in Business Economics from the University of Exeter, I am equipped with a solid educational foundation that complements my practical expertise.

I am excited about the prospect of contributing my skills and passion for data analytics to further the goals of innovative and forward-thinking teams. Let's explore how my analytical prowess and dedication to continuous learning can bring valuable insights to your organization.

Experience

Current

Data Analyst

Current

Billups

Jul 2021 - Present (2 years 10 months)

• Analyzed GitHub code and implemented enhancements, leading to a 35%
acceleration in project processing time.
• Applied machine learning for attribution analysis to gain insights into
marketing and advertising effectiveness, contributing to data-driven decision-
making.
• Developed and implemented a comprehensive ETL pipeline that seamlessly
collected data from diverse sources, performed thorough

Python SQL Machine Learning

Data Analyst (Risk)

page financials

Mar 2019 - Dec 2019 (9 months)

• Evaluated customer creditworthiness by analysing financial data, resulting in a 20% reduction in non-performing loans.
• Developed a comprehensive risk assessment model to evaluate loan applicants, reducing loan approval time by 30% and improving accuracy in identifying high-risk customers.
• Collaborated with the sales team to define additional customer information requirements, leading to a 15

Python Credit Risk Risk Modeling

Data Analyst

gomoney

Dec 2019 - Jul 2021 (1 year 7 months)

• Developed and maintained a predictive churn model, which reduced customer churn by 15%
• Utilized advanced analytics to identify high-value customer segments, leading to a 5% reduction in customer acquisition costs and a 7% increase in CLV.
• Built automated dashboards for monitoring CLV, churn, and marketing campaign performance, saving 4 hours per week and improving data accessibility for the

Python SQL Machine Learning Tableau