Favour Oyelude

I am an analytical and data-driven EEE graduate with First-Class Honours and comprehensive certifications from IBM and Google. I combine advanced data analytics with a rigorous software development and embedded IoT background. I am professionally experienced in transforming complex operational data into business intelligence using SQL, Python (Pandas), and Power BI, which has been demonstrated by driving a 40% sales increase for an e-commerce platform.

I have proven track record in cloud data ecosystems, leveraging Microsoft Azure (Azure SQL, Data Factory, Synapse Analytics), and deploying scalable full-stack web applications using Next.js, FastAPI, and PostgreSQL. I am Command-line comfortable and disciplined in engineering deterministic, reproducible systems. I am a self-directed builder adept at asynchronous collaboration, structured technical documentation, and owning data infrastructure end-to-end.

Data Scientist / ML Engineer (Contract / Remote) at Vanguard Tech Group (2026-03 – 2026-05)

• Engineered and deployed an end-to-end predictive machine learning pipeline using Python (Scikit-learn, Pandas, NumPy) to analyze over 500,000 retail transaction records, achieving an 89% accuracy rate in forecasting monthly customer churn.
• Architected cloud-native data integration pipelines within Microsoft Azure (Azure Data Factory, Synapse Analytics) to aggregate, clean, and transform unstructured data from distributed databases into optimized Azure SQL Databases.
• Developed custom Python automation tools using openpyxl and pdfplumber with a tkinter GUI interface, automating the generation of complex analytical reports and reducing manual data processing time by 35 hours per week.

Backend & AI Platform Engineer at NexusTech Solutions (2025-04 – 2026-01)

• Designed and implemented scalable, high-performance REST APIs using FastAPI and Python, optimizing endpoint response latency by 40% using asynchronous tasks and connection pooling in PostgreSQL.
• Built a firmware-to-cloud data ingestion network using Bash scripting and MQTT protocols, successfully processing real-time telemetry streaming from ESP32 and Arduino IoT microcontrollers.
• Contributed to AI evaluation infrastructure by developing deterministic test suites, continuous integration scripts via Git, and mock multi-turn developer prompts to benchmark large language model (LLM) performance, ensuring strict technical documentation discipline.

Full-Stack Software Engineer at Veloce Digital Agency (2024-01 – 2025-02)

• Architected and developed responsive client-facing web applications using Next.js, React, and HTML/CSS, implementing server-side rendering (SSR) to improve search engine discoverability and initial page load speed by 25%.
• Integrated state-of-the-art web frontends with secure backend microservices, leveraging JavaScript asynchronous state management to handle complex user interactions and dynamic data visualization components.
• Implemented Test-Driven Development (TDD) patterns across the application codebase, utilizing component testing strategies to minimize deployment regressions and guarantee high reliability for final end-to-end project delivery.

Data Analyst – E-commerce Operations at Enchant Gifts (2023-03 – 2023-12)

I used Microsoft Excel to collect and analyse data for this e-commerce company, which offers a wide range of gift items, including letters, diffusers, candles, flowers and so on, implementing functions and building KPI dashboards to track sales metrics, agents' performance, and identify popular product categories and locations for better ad promotions.

• Used insights gotten to understand customer preferences, optimising inventory management and product offerings for future sales events while streamlining order processing to significantly reduce the incidence of mixed-up orders.
• Collaborated with the sales team to refine sales strategies by bundling products into premium and signature packages, contributing to over 40% increase in sales.

B.Eng. in Electrical and Electronics Engineering – Covenant University (2020-09 – 2025-10)