Adetunji Fasiku
Data Analyst | 50M+ Data Points | 95% Model Accuracy | Team Leader
I work with data to find patterns and build things that solve problems. Completed my Data Analytics certification at Correlation One and building a trading system on the side. The numbers speak for themselves.
Key Metrics
What I Do
I work with data to solve problems. Whether it's building models to predict loan defaults, analyzing music patterns, or optimizing team operations - I find what works and build it.
Tools I Use
- Statistical Analysis: ANOVA, hypothesis testing, finding patterns that matter
- Machine Learning: Building models that work in production environments
- Databases: Oracle, PostgreSQL, MySQL, SQL Server - whatever gets the job done
- Visualization: Tableau, Python plots, dashboards for business users
- Leadership: Led 25+ people at Amazon, kept things running smoothly
Technical Skills
Programming & Development
Data Science & Machine Learning
Data Visualization & BI
Database & Infrastructure
What People Say
"Adetunji consistently demonstrated exceptional analytical skills and attention to detail during our data analytics program. His ability to process large datasets and extract meaningful insights, particularly in his Billboard music analysis project, showcased his potential as a data professional. His statistical rigor and clear communication of complex findings make him a valuable asset to any data team."
"As a team lead managing 25+ associates in a high-volume environment, Adetunji showed remarkable leadership and analytical thinking. His data-driven approach to process improvement resulted in measurable productivity gains and operational efficiency. His ability to translate complex operational data into actionable strategies demonstrates strong business acumen."
"Adetunji's technical projects demonstrate impressive depth in machine learning and statistical analysis. His work on risk modeling with 95%+ accuracy and comprehensive feature engineering shows both technical competence and business understanding. His commitment to model explainability and ethical AI practices reflects professional maturity."
Featured Project
Bungaku
Music-Literary Correlation Analysis Platform
📊 Project Overview
Comprehensive analysis of over 130,000 Billboard Hot 100 entries cross-referenced with Spotify's Exportify data to discover patterns in chart-topping audio features. This project applies advanced statistical methodologies to isolate key drivers of hit probability and uncover temporal trends in music preferences.
🎯 Key Achievements
- Large-Scale Data Analysis: Processed and analyzed over 130,000 Billboard Hot 100 entries with corresponding audio features
- Statistical Validation: Applied rigorous statistical tests including ANOVA, Tukey HSD, and t-tests for robust analysis
- Seasonal Pattern Discovery: Identified significant seasonal variations - winter tracks consistently trend quieter across decades
- Temporal Trend Analysis: Documented decade-based shifts showing modern hits skew louder and less acoustic
- Advanced Visualizations: Created comprehensive data visualizations including heatmaps, violin plots, and correlation matrices
- Industry Applications: Delivered actionable insights for music producers and playlist engineers
📈 Project Impact & Scale
🔬 Statistical Methodology
⚙️ Technology Stack
Data Processing & Analysis
Statistical Testing
Data Visualization
Data Sources & APIs
🚀 Development Timeline
Featured Projects
CandleThrob Trading Bot
Oracle DB-powered algorithmic trading system with complete data lifecycle: ingests from Polygon.io/FRED APIs, processes through 113+ TA-Lib indicators, stores transformed data in Oracle, and supports ML model development for trading strategies.
Customer Purchase Predictor
Analyzed 3.9M+ behavioral events to detect purchase-triggering patterns. Built logistic classifier with threshold tuning and deployed insights via Streamlit app. Used SHAP for explainability and CRM integration.
Loan Default Predictor
Processed 2.2M+ borrower records with custom feature engineering. Built XGBoost classifier (77% accuracy) vs logistic baseline (66%). Applied SHAP for risk factor explanation and business decisions.
Bungaku: Hit Song Pattern Analyzer
Analyzed 130K+ Billboard entries with statistical tests (ANOVA, Tukey HSD) to discover seasonal and decade-based audio feature patterns. Built visualizations for music industry insights.
Breast Cancer Classifier
Coded logistic regression from scratch achieving 95% test accuracy. Implemented without ML libraries to demonstrate deep understanding of mathematical foundations and algorithm mechanics.
Experience & Education
Data Analytics Trainee
Correlation One | Expected: January 2025 - July 2025
• Built SQL queries, Python models, and Tableau/Looker dashboards for supply chain, HR, and finance domains
• Used statistical testing and visual storytelling to deliver actionable insights in capstone projects
• Final project (Bungaku): identified audio traits in hit songs using statistical analysis of 130K+ entries
Process Guide (Fulfillment Associate)
Amazon | May 2023 - February 2025
• Led floor operations for 25+ associates, identifying performance bottlenecks and coaching underperformers
• Delivered performance insights at shift leadership huddles using internal rate dashboards
• Collaborated with IT, Amnesty, and Facilities teams to resolve hardware and flowline issues
Bachelor of Science
University of Maryland Baltimore County | 2019 - 2022
• Relevant coursework: Statistics, Data Mining, Database Systems
• Capstone project: Predictive analytics for student success rates
Certifications & Learning
Recent Certification
- 🎓 Correlation One Amazon Data Analytics Program (January 2025 - July 2025)
Currently Pursuing
- 📚 OCI Data Science Professional
- 📚 Deep Learning Specialization
- 📚 Tableau Desktop Specialist
Ready to Contribute as a Data Analyst
I'm actively seeking data analyst positions where I can apply my analytical skills while continuing to grow toward my data science goals. Let's discuss how I can add value to your team!