💻 AI & Data Science Expert | Digital Solutions | Machine learning
📍 Based in Newcastle, England 📧 chukwuebuka.korie@ieee.org | 📞 +447445290401

I’m an experienced Data Analyst adept at interpreting complex datasets for strategic decision-making. Utilizing technical skills, including SQL and Python, I create data models and dashboards for business integration.

I have enhanced business intelligence through market research and KPI insights in team settings. I am eager to contribute further by maintaining data models and incorporating key metrics into operations to uncover actionable insights.

Royal Mail Group | UK (Oct 2024 – Present)

• Performed data entry and analysis of customer interactions and service inquiries.
• Identified trends that improved service delivery, resulting in a 15% increase in customer satisfaction.
• Managed customer data efficiently across email, phone, and live chat support systems, improving response times, retention, and acquisition rates.

Wema Bank Plc | (Sep 2022 – Sep 2023)

• Delivered weekly reports and evaluated project outcomes using data modelling techniques and KPI frameworks to guide business strategies.
• Utilized SQL, Python, Tableau, and Excel pivot tables to analyze large datasets.
• Created interactive dashboards and provided actionable insights for stakeholders' decision-making.

Zenith Bank Plc | Lagos (Apr 2021 – Aug 2022)

• Conducted system analysis, documentation, testing, implementation, and user support for seamless platform transitions.
• Analyzed data to guide the development and deployment of new CIB solutions.
• Facilitated data integration into operations for 20 branches, focusing on growth indicators through statistical and KPI analysis.

🎓 Master of Science | Artificial Intelligence and Data Science
Keele University (United Kingdom)

🎓 Bachelor of Library Science | Library and Information Science
Imo State University Owerri (Nigeria)

🎓 O Level | West African Examination Council
Saint Mary's College

• Collaborated in a team of three to analyze and visualize a dataset exceeding 40,000 records.
• Utilized Python for comprehensive data preprocessing, structuring the data for clear analysis.
• Created over 12 visualizations to extract actionable insights, documented on GitHub.

• Designed and implemented a sentiment analysis system for music album reviews using Python.
• Conducted comprehensive data preprocessing and explored multiple ML approaches.
• Selected and implemented a Naïve Bayes model with TextBlob for optimal accuracy and applicability.

• Developed a Python-based management system simulating car entry/exit, tracking spaces, and recording data to CSV.
• Implemented a graphical user interface (GUI) using Tkinter and a text-based interface.
• Designed features for fee calculation, user input validation, and exception handling ensuring robustness.

💼 Open to data-driven roles, BI opportunities, and collaborative tech projects.
📩 Let’s build something impactful together!