Caleb Otunuga
Uptempo
2
Languages
1
Certification
4
years of professional experience
Positive and analytical with knack for turning data into actionable insights. Comprehensive understanding of statistical analysis and data visualization tools such as SQL and Tableau. Dedicated to leveraging data-driven strategies to drive success and innovation.
Work History
Data Analyst
3 Years 2 Months- Gathered requirements and built ETL pipelines using SQL and internal scripting tools, ensuring validated, accurate data flows that addressed business reporting needs across multiple platforms.
- Gathered requirements and built ETL pipelines using SQL and internal scripting tools, translating business reporting needs into validated, accurate data flows across multiple platforms.
- Created and maintained recurring business reports and executive-level summaries, ensuring stakeholders had accurate, up-to-date data to support decision-making.
- Designed and documented a repeatable process for rolling over reporting structures across 10 client accounts annually, replicating prior configurations while auditing for data accuracy, reducing manual errors and rework.
- Created and maintained recurring business reports and executive-level summaries, providing stakeholders with accurate, up-to-date data to enhance decision-making.
- Designed and documented a repeatable process for rolling over reporting structures across 10 client accounts annually, auditing for data accuracy to minimize manual errors and rework.
- Conducted root-cause troubleshooting on system issues including login failures and user access errors, by analyzing system logs, resolving problems before they impacted end users.
- Developed a checklist to standardize the rollover process for reporting.
Data Solutions Analyst
9 Months- Gathered requirements and built ETL pipelines using Python and internal scripting tools, translating business reporting needs into validated, accurate data flows across multiple platforms.
- Wrote and optimized SQL queries to identify anomalies, inconsistencies, and trends in data, reducing recurring data errors by 10%.
- Mapped and profiled data across 2 source-to-target integrations, collaborating with stakeholders to enhance data availability and quality prior to production.
- Developed and validated data models in Sparx Enterprise Architect for 2 projects, ensuring structural accuracy and reconciliation with enterprise standards for downstream teams.
- Partnered with architects, developers, and business stakeholders to translate reporting and data requirements into technical specifications.
- Documented ERDs, class diagrams, and data flows to ensure long-term sustainability and knowledge transfer across teams.
- Led root-cause investigations on production issues, tracing data anomalies and integration failures back to their source and shipping faster fixes.
- Documented business rules and data contracts serving as a reference point for 10 developers/QA/data engineers, reducing back-and-forth and rework.
- Coordinated with multiple teams to ensure data quality and governance throughout system upgrades.
Education
Graduate Certificate - Data Analytics
- Dean's List
- Covered and practically utilized regression, logistic regression, KNN, Naïve Bayes, clustering, classification, in evaluating predictive performance
- Gained experience with Power BI and Excel for building dashboards and communicating data-driven insights to business stakeholders
- Worked with SQL, MySQL, and RDBMS/NoSQL databases for querying and structuring relational and non-relational data
- Capstone: Analyzed NBA player performance and salary data (2003–2025) using Python, SQL, and Databricks to evaluate player value
- Applied regression and clustering to segment players into overvalued, undervalued, and correctly valued groups, finding 38% of players overvalued relative to performance, used SHAP values to explain key performance metrics driving player valuation, and presented findings via Excel and Power BI visualizations
- Graduation Dean's List, [Winter, 2026]
- Honour Roll, [Fall, winter, 2026]
Bachelor of Science - Computer Science
Skills
Analytical Techniques: Data architecture
Data validation
Regression Analysis
Clustering
SHAP (Model Interpretability)
Statistical Analysis
Data Visualization
Predictive Performance Evaluation
Data graphics and presentations
Data analysis
Python programming
Excel functions
Data cleaning
Data Visualization Tools
Data validation
Predictive Analytics
ETL processes
Machine learning
Data modeling
Data mapping
Languages
English
Native or Bilingual
French
Professional Working
Certification
- AWS Certified Developer
- AWS Certified Data Engineer
Timeline
Data Analyst
Uptempo
06.2023 - CurrentRead More
Data Solutions Analyst
Wawanesa Insurance
09.2022 - 06.2023Read More
University of Manitoba
Bachelor of Science from Computer Science
Read More
Humber College
Graduate Certificate from Data Analytics
Read More