Data Analyst

Oluwatemilorun Matthew Omoniyi

312-***-**** ****************@*****.*** LinkedIn Portfolio

EDUCATION

Master of Science in Applied Statistics and Decision Analytics / Western Illinois University, Macomb, Illinois GPA: 3.81 of 4.0 PROFESSIONAL SUMMARY

Dynamic data professional with a versatile background spanning advanced analytics, financial data management, risk mitigation, and business intelligence. Proven ability to apply data management techniques, statistical modeling, machine learning, forecasting, experimentation, and automation to drive strategic decision-making across multiple industries. Adept at developing, implementing, and automating scalable processes and predictive models that solve complex data challenges in financial services, insurance, alumni engagement, and customer acquisition. Skilled in enhancing data standards, governance, and reporting accuracy using SQL, Python, Excel, and leading data visualization tools such as Tableau, Power BI and Google Analytics. Committed to delivering actionable insights that optimize operational performance, strengthen financial decision-making, and support sustainable business growth. TECHNICAL SKILLS

Technical Tools and Languages - SQL, Python, Excel, Power BI, Tableau, AWS, Microsoft Azure, Alteryx, Oracle, MongoDB, Jira, Git Data Management and Analysis - Data wrangling and preprocessing with Python and Alteryx, Advanced SQL querying, Data modeling and relational and non-relational database design (Oracle, MongoDB), ETL pipeline development, Hypothesis testing, Customer segmentation, Cluster analysis, Root-cause analysis, Agile methodology, Requirement gathering and stakeholder communication. Reporting - Statistical reporting and Interactive dashboard development in Power BI and Tableau using advanced charts, calculated fields, parameters, and filters; Data cleaning and transformation with Tableau Prep; Executive-level reporting and storytelling with PowerPoint; Task tracking, sprint management, and bug tracking using Jira; Version control and collaborative development with GitHub. EXPERIENCE

Western Illinois University - Macomb, IL September 2023 - May 2025 ASSOCIATE ALUMNI DATA ANALYST SQL, Python, Tableau, Alteryx, Power BI, Excel (PivotTables, VLOOKUP, Data Analysis Toolpak)

• Extracted, cleaned, and transformed alumni datasets from internal databases using SQL and Python (numpy/pandas), preparing over 150,000 records for analysis and ensuring data quality through validation and profiling processes.

• Applied K-Means clustering to segment alumni based on donation propensity, uncovering high-value donor groups and driving a 6% increase in alumni donations through targeted engagement strategies.

• Designed interactive Tableau dashboards to visualize donor trends and predictive model outputs, supporting the development team in securing over $70K in targeted donations and achieving a 7% uplift in annual fundraising revenue.

• Developed and maintained Tableau KPI dashboard for alumni engagement data, visualizing key performance metrics such as call volume, donation conversion rate, and caller efficiency.

• Supervised student callers by monitoring performance metrics, providing individualized feedback, and coaching them on strategies to improve outreach effectiveness and donation conversion rates.

BLN Tech Club DMCC - Dubai, United Arab Emirates September 2022 - August 2023 DATA ANALYTICS LEAD SQL, Python, Excel, Tableau, Power BI, AWS, TradingView (Technical Analysis)

• Played a key role in the migration of data ensuring data dictionaries, compliance and standards are maintained thus increasing data accuracy, accessibility and scalability.

• Built and deployed classification models in Python to analyze trader behavioral datasets, identifying key profitability drivers such as trade timing and asset selection, and seamlessly integrating model insights into an interactive dashboard that boosted average trader profitability by 15%.

• Develop and maintain dashboards for technical and non-technical stakeholders using tools like Tableau, Power BI and Excel for more simplified reports on PowerPoint, providing senior management with actionable insights.

• Automated risk reporting workflows using SQL, Python, and AWS Lambda to support real-time risk assessment.

• Mentored junior analysts and provided training on advanced data management techniques and tools. Maven Trading Group - Ontario, Canada June 2019 - August 2021 PRODUCT DATA ANALYST SQL, Python, Excel, Tableau, PowerBI, Microsoft Dynamics, Microsoft Azure, TradingView (Technical Analysis)

• Developed Python scripts to automate data quality assurance by extracting, cleaning, matching, and enriching data from multiple sources, significantly improving segmentation efficiency.

• Developed an automated dashboard on data enrichment and campaign engagement metrics that consolidated data from multiple sources, reducing manual reporting.

• Applied analytics and experimentation techniques to optimize marketing effectiveness and allocate budgets more efficiently.

• Spearheaded data enrichment automation workflows for growth marketing and customer segmentation models for smart budget allocation across paid marketing campaigns.

• Designed and implemented a multi-touch attribution model using Azure Data Factory and Python that evaluated channel performance across customer journeys, resulting in optimized campaign investment strategies. Chevron Nigeria Limited - Lagos, Nigeria January 2017 - July 2017 PETROLEUM ENGINEER, JV EXPLORATION SAP, Microsoft Outlook, PROSPER, MBAL, GAP

• Built and validated data-driven flow models in PROSPER and MBAL to optimize gas well performance, increasing retrograde condensate production from 8,337 STB/day to 8,385 STB/day, contributing to a measurable uplift in asset profitability during gas demand fluctuations.

• Engineered in-depth simulation analysis on 9 gas wells and 2 reservoirs in the OKAN field, using historical well test datasets and predictive modeling techniques to forecast production scenarios and guide data-backed operational decisions.

• Led root cause analysis on discrepancies between Well Test Data and simulation outputs, leveraging diagnostic data techniques to detect corroded chokes at the wellhead, preventing potential overproduction incidents and reinforcing operational safety compliance. VOLUNTEERING

IOWA BUSINESS ANALYTICS CASE COMPETITION - Wellmark Inc. & University of Iowa Tippie College of Business April 2025

• Utilized Tableau Prep to clean, transform, and standardize healthcare datasets, and applied a SARIMA forecasting model in Python(statsmodels) to predict Medicare Advantage utilization trends, uncovering a 22% increase in inpatient use and identifying a $100M funding shortfall in Iowa by 2030.

• Integrated ZIP-level demographic and economic datasets to evaluate Medicaid eligibility shifts, performing gap analysis that revealed over 40,000 additional individuals likely to qualify due to inflation, unemployment trends, and wage stagnation, informing resource planning initiatives.

• Designed and developed interactive Tableau dashboards incorporating advanced filters, calculated fields, and parameters to visualize healthcare trends, presenting findings to executive stakeholders and healthcare professionals, supporting 5 strategic recommendations for action impacting 200K+ dual-eligible beneficiaries and guiding over $150M in projected healthcare funding allocations. LEADERSHIP AND ACTIVITIES

Western Illinois University Statistics Club - Macomb, IL January 2024 – May 2025 VICE PRESIDENT

• Led a 12-member team to organize semester-based educational initiatives focused on applied statistics and peer learning.

• Conducted weekly tutorials for 20+ students, strengthening comprehension of core statistical concepts and boosting academic performance.

• Coordinated data analysis competitions for 50+ students, promoting statistical problem-solving and healthy academic competition. National Society of Black Engineers - Macomb, IL May 2024 – May 2025 TREASURY AND FINANCIAL STRATEGY OFFICER

• Improved efficiency and transparency by implementing a consistent weekly reporting schedule.

• Facilitated successful fundraising initiatives, boosting organizational funding by 12% in a single academic term.

• Enhanced funding reserves, supporting 3 events per semester with improved cost efficiency.

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