I'm Itoya Eromosele, a Data Scientist and Web Developer with 2+ years of experience. I specialize in building predictive models, interactive dashboards, and full-stack web applications that turn data and business needs into actionable solutions.
I combine technical expertise in Python, SQL, Machine Learning, and modern web technologies (React, Next.js) with practical problem-solving skills. Currently expanding my portfolio with advanced ML projects and contributing to open-source initiatives.
Name: Itoya Eromosele
Degree: BEng Electrical/Electronic Engineering
WhatsApp: +234 814 211 4376
Address: Abuja FCT, Nigeria
Experience: 2+ Year
Email: eromotoya@gmail.com
Freelance: Available
Data Scientist and Web Developer with 2+ years of experience building dashboards, predictive models, and full-stack applications. Skilled in Python, SQL, Power BI, Machine Learning, NLP, React, and Next.js.
Founder and tech instructor with a track record of training 10+ learners and delivering functional websites for clients. Known for clean code, practical problem-solving, and turning data and business needs into real working solutions.
Samtech Multiservice Limited
Aug 2025 - Present | Abuja, FCT
Earlycode Computer Institute
Jul 2023 - Jul 2025 | Abuja, FCT
Ambrose Ali University
Aug 2020 | 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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