📂 My Resume

TEMIDAYO OSATUYI  

Data Engineering & Analytics Professional

tm.tuyi@gmail.com | (240) 745-5011        

SUMMARY

Data and systems professional with 8+ years of experience designing data architectures, ETL pipelines, and analytics products that unify information across disparate, multi-source operational systems. Skilled in reconciling records across databases lacking common identifiers, building data quality and validation frameworks, and translating complex, multi-source data into dashboards and findings usable by both technical and executive audiences. PhD-trained researcher combining strong SQL and Python/R programming with rigorous statistical methods, predictive modeling, and data governance practices. 

CORE COMPETENCIES

• Data Architecture & Integration: ETL pipeline design and development, multi-source data integration, relational database design, data warehousing, dimensional modeling, cross-system record reconciliation

• Languages & Databases: SQL, SQLite, Python (pandas), R, Excel

• Analytics & Modeling: Predictive modeling, forecasting, supervised and unsupervised machine learning, hypothesis testing, regression analysis, ANOVA, statistical analysis (SPSS, Stata, Matlab, SAS)

• Data Quality & Governance: Data quality assessment frameworks, anomaly detection, data validation and reconciliation, data privacy and security compliance, documentation of data provenance and known limitations

• Visualization & Reporting: Power BI, Tableau, Excel dashboards, executive-ready reporting and storytelling for technical and non-technical audiences

• Research & Collaboration: Mixed-methods research design, survey design (Qualtrics, Survey Monkey, Google Forms), cross-functional stakeholder collaboration, Agile/Scrum, Git-based version control familiarity

• Project & Workflow Tools: Asana, JIRA, Slack, Miro, Trello

EXPERIENCE

New Frontiers Group Nov 2021 - Present

Data, Systems, and Business Process Analyst 

• Design and implement data pipelines and ETL workflows using SQL and SQLite to integrate and process large datasets drawn from multiple disparate source systems.

• Develop predictive models and forecasts using Python, R, and supervised and unsupervised machine learning techniques to support operational and strategic decision-making.

• Build interactive dashboards in Power BI, Tableau, and Excel that translate complex, multi-source data into clear, decision-ready visualizations for varied stakeholder groups.

• Conduct data quality assessments and implement anomaly detection mechanisms to ensure the integrity, consistency, and reliability of organizational data repositories.

• Apply data privacy and security best practices to ensure compliance with organizational and industry standards across data-driven workflows.

• Analyze business processes and system behavior to validate data quality, identify defects, and strengthen reporting confidence in complex enterprise environments.

• Translate business requirements into test scenarios, data checks, and control points in partnership with cross-functional technical and business stakeholders.

• Perform detailed data validation and reconciliation across applications, workflows, and reporting outputs to improve trust in business-critical information.

• Support end-to-end testing and issue resolution by identifying data gaps, documenting findings, prioritizing risks, and coordinating remediation across teams.

• Strengthen governance and traceability across financial and operational data workflows where accuracy directly supports decision-making.

Perizer Feb 2019 - Nov 2021    

Research Scientist 

• Led design, development, and execution of research studies using Qualtrics, Survey Monkey, and Google Forms to collect and analyze behavioral and attitudinal data.

• Directed cross-functional collaboration using Asana, JIRA, and Slack to integrate research findings into product development and strategic planning.

• Conducted mixed-methods research, combining quantitative analysis (surveys, benchmarking, A/B testing) with qualitative methods (usability studies, interviews, field research) to inform strategic initiatives.

• Managed end-to-end research lifecycles, from planning and recruitment through analysis and executive-ready reporting.

• Synthesized qualitative and quantitative findings into data visualizations and reports that shaped product roadmaps and business strategy.

Data Analyst Intern                                                                                                                                                                          Dec 2017 – July 2018

New Frontiers Group

• Designed and implemented surveys using Qualtrics and Google Forms, analyzing resulting data in Excel and SPSS to identify actionable trends.

• Partnered with researchers to evaluate data quality and refine analytical methodologies, contributing to high-impact recommendations.

• Executed data cleaning, preprocessing, and reporting workflows to prepare datasets for advanced analytics.

• Developed visualizations and presentations to communicate research findings to technical and non-technical audiences.

• Supported data warehousing efforts, aligning data collection practices with organizational goals and industry standards.

Data Analyst — Graduate Research Assistant                                                                                                                       Aug 2015 – July 2017

University of Texas Rio Grande Valley

• Conducted exploratory and statistical analyses to address open-ended institutional challenges and inform program decisions.

• Collected and analyzed learning management system data in compliance with institutional policy, identifying trends in performance and engagement.

• Synthesized multi-source datasets to inform interventions in online and hybrid learning environments.

• Developed visual reports and dashboards for faculty and administrators to support curriculum and student-support decisions.

EDUCATION

Ph.D. in Business (Information Systems focus)

Indiana University of Pennsylvania

Master of Business Administration

University of Texas Rio Grande Valley

B.Sc. Computer Science

KSU

CERTIFICATIONS

• Certificate in Artificial Intelligence: Business Strategies and Applications: UC Berkeley Haas Executive Education              

• Certified Scrum Master (CSM)

• Microsoft Office Specialist: Excel Expert

• Certificate in UX Research: Nielsen Norman Group (NN/g)