I'm Itoya Eromosele, a Full-Stack Web Developer and Data Scientist with 3+ years of experience passionate about building solutions that combine software engineering and data intelligence — from scalable web and mobile applications to machine learning models that turn ideas into real-world products.
In the data domain, I work with Python, SQL, Power BI, Tableau, Machine Learning, Deep Learning, and NLP to build predictive models and intelligent solutions — including a fraud detection system, a football match prediction app, and sentiment analysis. In the software domain, I build modern web and mobile applications with React.js, Next.js, React Native, Node.js, Express.js, MongoDB, Firebase, and Supabase, taking products from concept to deployment.
Name: Itoya Eromosele
Degree: BEng Electrical/Electronic Engineering
WhatsApp: +234 814 211 4376
Address: Abuja FCT, Nigeria
Experience: 3+ Years
Email: eromotoya@gmail.com
Freelance: Available
3+ years delivering data-driven solutions and production software: a fraud detection system, a football match prediction app, sentiment analysis on 14,000+ airline reviews, and 6+ live web applications for clients — from e-commerce platforms to church and inventory management systems.
Founder and tech instructor with a track record of training 10+ learners. Currently freelancing full-time as a Full-Stack Developer and Data Scientist, and open to collaborating on innovative projects, freelance opportunities, and full-time roles.
EarlyCode Computer Institute
Jul 2023 - Jun 2026 | Abuja, FCT
InternPulse
Jan 2025 - Jun 2025 | Remote
DAW Energy Nigeria Ltd
Jul 2022 - Jun 2023 | Abuja, FCT
Sunnet Systems and Datacomm Services Ltd
Jul 2021 - Jun 2022 | FCT
Ambrose Alli University
Nov 2015 - Sep 2021 | Ekpoma, Edo State
Electrical & Electronic Engineering
As a Data Scientist and Web Developer, I bring a set of qualities that ensure high-quality, data-driven, and user-focused solutions tailored to your business needs.
I deliver projects on time with consistent quality, ensuring every detail is polished and functional.
I design innovative solutions that are both visually appealing and highly functional, enhancing user experiences.
I write clean, optimized code to build fast and scalable applications that meet modern standards.
Real-world data science projects showcasing my expertise in Python, Machine Learning, SQL, and data visualization. Each project demonstrates end-to-end analytical capabilities.
Analyzed 7,000+ job postings using Python to uncover hiring trends and skill gaps. Applied advanced Regex for requirement extraction.
Built a machine learning model to predict used car prices based on features such as mileage, year, brand, and condition. Applied regression techniques and feature engineering to achieve accurate price estimates.
Queried and joined 8 SQL tables to build complete customer-sales dataset. Executed transformations and visualized key performance drivers.
Built a machine learning model to predict Premier League match outcomes using historical data and web scraping. Deployed as an interactive web application with real-time match predictions.
Developed a classification model to detect fraudulent financial transactions using supervised learning. Applied data preprocessing, feature engineering, and multiple ML algorithms to maximize detection accuracy.
Full-stack web applications built with modern technologies including React, Next.js, Firebase, and Supabase. Each project demonstrates responsive design and secure authentication.
A comprehensive cryptocurrency investment platform with user authentication, wallet management, real-time crypto prices, and admin controls. Built with Next.js and Supabase.
A scalable e-commerce platform for smartphones and gadgets featuring product search, filters, user accounts, reviews, and secure payment processing. Deployed on Vercel for optimal performance.
A complete online clothing store with product listings, shopping cart, checkout workflow, and email notifications. Features responsive UI and admin dashboard for managing products and orders.
A full-stack MERN inventory management system with modules for products, sales, and reporting. Includes authentication, role-based access control, activity logs, and real-time updates using Firebase.
A full-featured e-commerce platform for premium Nissan and Infiniti spare parts. Features product search, category browsing, cart management, user authentication, and a clean responsive UI.
A full-stack church platform for the Church of the Annunciation Parish, Kubwa, Abuja. Features include parish information, event management, sacrament registration, leadership directory, and a companion mobile app (CAP Kubwa) available on Google Play.
I transform raw data into actionable insights using Python, SQL, Power BI, and Tableau. From exploratory analysis to interactive dashboards, I help businesses make data-driven decisions.
Read MoreI build and deploy supervised and unsupervised ML models for classification, regression, and clustering. Specializing in sentiment analysis, customer behavior prediction, and business forecasting.
Read MoreI create modern, responsive web applications using React, Next.js, and Tailwind CSS. From landing pages to full-stack e-commerce platforms with secure authentication and payment integration.
Read MoreI design and optimize databases using SQL, MongoDB, Firebase, and Supabase. Expert in complex queries, joins, and data transformations for efficient data retrieval and storage.
Read MoreI implement text preprocessing, sentiment analysis, and topic modeling using NLTK and Python. Experienced in extracting insights from large text datasets like customer reviews and job postings.
Read MoreI design and deliver hands-on training programs in data science, web development, and machine learning. Passionate about coaching aspiring developers with practical, job-ready skills.
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