Available for opportunities

Hello, I'm
Olatide Enoch

Full-Stack Developer Data Scientist Transport Tech

I build scalable web applications, extract insights from data, and simulate transport systems — bridging the gap between software engineering, data science, and mobility technology.

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Olatide Enoch
Code
Data
Transport

Who I am

About Me

As a Transportation Technology student, I'm driven by the vision of revolutionizing mobility through smart technology. I'm a versatile Python developer proficient in backend systems, frontend development, data science, and transport simulation.

I blend software engineering with data-driven analysis and simulation tools to tackle real-world transport challenges — from building web apps to modeling traffic flow and training machine learning models.

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Core Skills
Python Proficiency
Backend Development
Frontend Development
Database Management
Data Science & Analysis
Machine Learning
API Integration
Transport Simulation
GIS & Spatial Data
Web Security
Version Control
3D Simulation & Unity

Tools of the trade

Tech Stack

Frontend

  • HTML / CSS
  • Bootstrap
  • Tailwind CSS
  • JavaScript

Backend

  • Python
  • FastAPI
  • Flask / Jinja2
  • SQLite / PostgreSQL

Data Science

  • Pandas / NumPy
  • Scikit-learn
  • Matplotlib / Seaborn
  • R for ML
  • Jupyter Notebooks

Transport Tech

  • SUMO & TraCI
  • VISSIM
  • QGIS / OpenStreetMap
  • Unity / Sumo2Unity
  • Python & R for ML

What I've built

My Projects

Full-Stack Development

Web applications built end-to-end with Python backends

4 Projects
MyPersonal Bible App
MyPersonal Bible App
PythonFlaskSQLite

A peaceful web app to read, search, and meditate on Scripture with multiple versions and daily verses.

Live Demo View on GitHub
PDF2Audio Converter
PDF2Audio Converter
PythonFlaskTTS

Transform PDFs, documents, and books into high-quality MP3 audio files using text-to-speech technology.

Live Demo View on GitHub
Blog Haven
Blog Haven
PythonFlaskAuthRBAC

A fully functional blog application with complete user authentication and role-based access control built with Python and Flask.

Live Demo View on GitHub
Movie Collection Manager
Movie Collection Manager
PythonFlaskTMDB APICRUD

Discover movies via TMDB API and manage your personal collection with full CRUD functionality and database storage.

Live Demo View on GitHub

Data Science & Machine Learning

Exploratory analysis, predictive models, and data storytelling

3 Projects
Boston Housing & Transit Analysis
PythonPandasNumpyMatplotlibSeabornPlotly Express

An end-to-end machine learning study exploring how transport accessibility and socioeconomic factors influence housing prices in Boston. The project covers the full data science pipeline from data cleaning, EDA, regression, classification, clustering, and feature importance analysis using the classic Boston Housing dataset.

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Traffic Volume Analysis
PythonPandasSeabornNumpyMatplotlibPlotly Express

A data-driven exploratory analysis of real-world traffic volume patterns over time. The project involves cleaning and parsing datetime traffic data, then producing multiple visualizations time series line plots, KDE density plots, hour-by-hour box plots, and interactive day-of-week bar charts to identify peak periods, demand distribution, and flow trends across the day and week.

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Traffic Congestion & Delay Prediction
PythonXGBoostRandom ForestDecision TreePandasScikit-learnSeabornMatplotlib

A synthetic traffic prediction system leveraging volume, weather, road conditions, and incident data. Includes EDA (correlation, hourly trends, rain‑delay analysis, accident impact), congestion classification, and delay regression using Decision Tree, Random Forest, and XGBoost, evaluated via Accuracy, F1, MAE, RMSE, and R².

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Transport-Oriented Projects

Simulation, modelling, and spatial analysis of transport systems

3 Projects
SUMO Traffic Simulation with TraCI(Python)
PythonTraCISUMOsumolibXML Network Config

A Python-controlled traffic simulation built on SUMO and TraCI that monitors vehicles in real time. The simulation runs a custom SUMO network and route configuration, tracking each vehicle's speed, position, and distance traveled per simulation step while extracting edge-level traffic metrics such as average speed. Designed as a foundation for traffic analytics and ML-ready dataset generation.

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Custom SUMO Pipeline Tool
PythonSUMOOpenStreetMapQGISneteditXMLCLI

An open-source Python CLI tool that replicates and extends SUMO's built-in osmWebWizard.py. Starting from a raw .osm file from OpenStreetMap, it automates the full pipeline — generating the road network, multi-vehicle route files (cars, buses, trucks, bicycles), trip files, and all SUMO configs. Users then choose to either edit traffic lights in netedit or launch the simulation immediately.

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SUMO Unity Network Integration
SUMOSumo2UnityUnityXML Network Config

A SUMO road network configured and exported specifically for 3D visualisation and real-time integration with Unity via the Sumo2Unity framework. The network (.net.xml), simulation settings (.netecfg), and SUMO configuration (.sumocfg) were prepared and tuned to run seamlessly within a Unity environment enabling immersive, real-time 3D traffic simulation rendering from a live SUMO backend.

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Let's talk

Get in Touch

Or reach me directly at: olatideenoch1440@gmail.com  |  +2348039929334