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Anita Dijala

@anitadijala

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Entry-level machine learning and computer vision engineer specializing in predictive Python models.

Nigeria

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What I'm looking for

I’m looking for an entry-level role where I can apply Python-based machine learning and computer vision, build predictive pipelines with strong model evaluation, and collaborate to ship practical, data-driven systems.

I’m a computer science graduate with a solid Python foundation and hands-on machine learning experience, focused on turning data into reliable, decision-ready systems.

I built a customer churn prediction model reaching 76% accuracy and a 0.86 F1 score, using backtesting and feature engineering to back up data-driven outcomes.

I also engineered a computer vision pipeline (SVM, GLCM, LBP) to forecast fashion trends from real-world imagery, translating model outputs into insights stakeholders can act on. My dissertation earned a First Class (75%) grade.

In internships, I supported real-world workflows—automating Wi‑Fi data allocation tracking for 200+ staff and improving successful allocation rates by 30%—and I’ve shown I can pick up new tools quickly while collaborating to move from idea to working system.

Experience

Work history, roles, and key accomplishments

IT Services Intern

KPMG

Aug 2025 - Sep 2025 (1 month)

Managed and automated Wi-Fi data allocation tracking for 200+ staff, analyzing failed allocations and implementing a retry process that improved successful allocation rates by 30%. Upgraded 30+ laptops to Windows 11, installed software patches, and cleaned/upgraded staff device records to improve data accuracy and system efficiency by 25%.

Wi Fi Data Allocation Tracking Automation Retry Windows 11 Patching IT Asset Management Data Cleaning

Website Development & Design Intern

Remote Oasis Infobyte

Feb 2024 - Mar 2024 (1 month)

Built 3 websites in 1 month using HTML, CSS, JavaScript, and Git, delivering a reporting-ready, user-friendly interface on a tight timeline.

HTML CSS JavaScript Git Website Development UI Design

Education

Degrees, certifications, and relevant coursework

Lancaster University

Bachelor of Science (Hons.), Computer Science

2023 - 2026

Grade: 2:1; dissertation grade: First Class (75%)

Activities and societies: Marketing & Media Lead of Lancaster University ROAR Magazines; member of Hip-Hop & Breakdance society.

BSc Computer Science (Hons.) graduate with a 2:1 classification, completing a dissertation in AI-driven fashion trend forecasting that earned a First Class (75%). Developed a strong foundation in AI, data engineering, deep learning, and computer vision.