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Olotu AisosaOA
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Olotu Aisosa

@olotuaisosa

Data and Research Analyst delivering Python/SQL analytics and machine learning models to turn data into decisions.

United States
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What I'm looking for

I’m looking for a role where I can build reliable Python/SQL pipelines, apply machine learning to real business problems, and partner with stakeholders to deliver decision-ready dashboards, forecasts, and measurable improvements.

I’m a Data and Research Analyst who leads data analysis and builds predictive models in Python, including linear regression work to predict graduation rates and quantify how budget allocations impact outcomes. I build ETL pipelines and normalize data tables using SQL and Python, applying data-quality checks and producing Tableau reports that enable reliable downstream analytics.

I also apply machine learning end-to-end through hands-on projects—building an NLP pipeline using TF-IDF keyword extraction and sentiment analysis for Amazon product feature ranking with Random Forest, and developing heart disease early-risk prediction models with an RMSE of 12.3 (24% lower than baseline). Earlier, at PricewaterhouseCoopers, I improved financial/regulatory report accuracy by 23% using SQL on Oracle databases, built a KYC data-quality scoring model across 20+ attributes, and delivered executive dashboards and internal audit findings that strengthened regulatory adherence by 29%.

Experience

Work history, roles, and key accomplishments

East Texas A&M University logoEU

Data and Research Analyst

East Texas A&M University

Aug 2024 - Dec 2025 (1 year 4 months)

Led data analysis and built linear regression models in Python to predict graduation rates and quantify the impact of budget allocations. Developed ETL pipelines and normalized datasets with SQL and Python, created data-quality checks and Tableau reports, and produced research presentations based on literature reviews and survey dataset analysis.

Amazon logoAM

Amazon Product Sentiment Analysis

Nov 2024 - Dec 2024 (1 month)

Built an NLP pipeline in Python to analyze 20,000+ Amazon reviews to identify product improvement areas. Used TF-IDF keyword extraction, sentiment analysis, and supervised models (Random Forest) to map sentiment to product features.

PricewaterhouseCoopers (PwC) logoPP

IT Audit Associate

Dec 2022 - Dec 2023 (1 year)

Improved financial and regulatory report accuracy by using SQL on Oracle databases to extract, reconcile, and validate customer, general-ledger, transaction, and KPI datasets. Built a KYC data-quality scoring model and developed executive reports/dashboards mapping data-quality issues to process and system gaps.

SB

Business Growth and Partnership Intern

Sterling Bank

Jul 2021 - Oct 2021 (3 months)

Conducted research on customer preferences, market pricing, and competitor offerings, presenting findings to the business development team to refine client pitches. Engaged prospective corporate clients through product presentations and needs-based discussions, contributing to a 25% rise in corporate participation in the organization’s health insurance plans.

CP

Business Development/Fleet Manager Intern

C&I Leasing PLC

Aug 2019 - Oct 2019 (2 months)

Coordinated rental operations and maintained Excel tracking for fleet assignments, customer bookings, and driver schedules to improve accuracy and reduce service delays. Supported client meetings by preparing materials and organizing invoices and contract/fleet documents to ensure accurate recordkeeping.

Education

Degrees, certifications, and relevant coursework

East Texas A&M University logoEU

East Texas A&M University

Master of Science in Business Analytics, Business Analytics

Pursuing an M.S. in Business Analytics at East Texas A&M University (Dallas campus) with a focus on data analysis and applied decision modeling.

Pan-Atlantic University logoPU

Pan-Atlantic University

Bachelor of Science in Economics, Economics

Completed a B.S. in Economics at Pan-Atlantic University.

Tech stack

Software and tools used professionally

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