Data Analyst with 9 years of progressive experience in technical operations, customer success, and compliance reporting across telecoms, energy, and logistics. MSc Information Technology with Data Analytics from the University of the West of Scotland (2026), specialising in machine learning, time-series forecasting, and interpretable AI.

I translate complex datasets into clear business decisions. My day-to-day toolkit is Python, R, SQL, Power BI, Tableau, and Excel, and my MSc work has extended into machine learning with pandas, scikit-learn, XGBoost, LightGBM, TensorFlow, Prophet, SHAP, and Streamlit.

🔭 Smart meter machine learning — my MSc dissertation builds an end-to-end pipeline that infers household occupancy profiles from 167.8 million half-hourly UK smart meter readings. It combines K-Means clustering, LSTM classification (92.46% accuracy), Facebook Prophet forecasting, SHAP interpretability, and an interactive Streamlit dashboard. The pipeline identified 1.48 GWh in annual energy waste across 5,487 households.

• 📡 At MYD Telecoms, monitored enterprise dashboards (OWS, Netboss), built SLA/KPI tracking workflows in Excel, SQL and Power BI, and produced governance reports that informed leadership decisions
• 🚗 At Drivecart Academy, automated manual Excel tasks with VBA macros, lifting team productivity by 12%
• ⛽ At 3LCinovate Energy, designed routing and dispatching procedures for fuel logistics and increased repeat-customer rate by 200% through improved service tracking
• 🛠️ At Tek Experts (YNV Group), delivered Microsoft 365 technical support and used Power BI and Excel to surface service-quality insights

📊 Smart Meter Occupancy Inference — 9-phase ML pipeline applied to the Low Carbon London dataset. Memory-efficient processing of 7.96 GB raw data, 63 engineered features, anomaly-detection ensemble, SHAP-derived insights for energy providers, and a Streamlit dashboard.

• Energy analytics and time-series forecasting
• Interpretable ML (SHAP, feature attribution)
• Memory-efficient processing of large tabular data
• Building dashboards that make ML output usable for non-technical stakeholders
• Compliance reporting, SLA monitoring, and data governance

📧 femidayo5@gmail.com 🔗 LinkedIn 📍 Glasgow, Scotland Open to data analyst, BI analyst, and ML engineer roles — UK remote, hybrid, onsite, available to relocate.