HANNAH OLAGUNJU

DATA SCIENTIST

Phone:

+44 7842.........

Email:

hannaholagunju23@gmail.com

Location

London,

United Kingdom.

Date of Birth:

July 30th.

A Bit About Me

I'm Hannah Olagunju, a Data Scientist, Python Educator, and the founder of Byte Krib, your home for code and data.

With a solid foundation in data analytics and a passion for clarifying complicated concepts, I assist individuals and organisations in realising the power of data. Whether I'm teaching youngsters to code in Python, coaching beginners through their data science journey, or developing digital tools that make learning entertaining and practical, I approach everything with a creative, human-centered mindset.

I've worked in the construction, supply chain, and public health sectors, delivering impactful insights with Python, Power BI, SQL, and Excel. I hope to make technology education more accessible, particularly to under-represented voices, through my digital resources, online classes, and social media material.

Let us build, learn, and grow together, one project, dataset, and breakthrough at a time.

Work Experience

June 2025 - April 2026

July 2024 - May 2025

January 2020 - July 2023

May 2017 - January 202

Supply Chain Data Analyst
Ardmore Group, London Area, UK.

Developed dynamic Power BI dashboards that improved visibility into supply chain KPIs, increasing reporting efficiency by 30%.
Delivered weekly Power BI reports to monitor procurement activity, enabling identification of late orders and highlighting high-spend packages, which improved procurement responsiveness by 25%.
Utilised Python to forecast potential project delays and their root causes, achieving a 20% improvement in proactive risk mitigation.
Analysed subcontractor performance data to identify trends and risks, driving a 20% increase in proactive issue resolution.
Led compliance-focused subcontractor onboarding and renewal workflows, reducing policy breaches by 25%.
Monitored and reported key project metrics, supporting early risk identification and improving on-time delivery by 15%.
Delivered data-backed recommendations to optimise subcontractor selection, resulting in a 20% boost in overall supply chain efficienc

Data Analyst (Contract)
RKY Consulting Service Ltd, UK.

Apply advanced data analysis methodologies to derive valuable insights from diverse data sources, resulting in a 20% trend and pattern identification enhancement.
Establish efficient data management processes and systems, yielding a 20% reduction in data discrepancies and promoting seamless cross-functional collaboration.
Present clear and concise reports to senior management, offering strategic recommendations based on data insights, leading to a 15% improvement in decision-making efficacy.
Research and integrate state-of-the-art data analysis techniques, achieving a 5% boost in predictive modelling accuracy within the organisation.
Design and optimise data models and databases, resulting in a 20% decrease in data processing time and improved accuracy in generating reports and dashboards.
Develop visually appealing and intuitive dashboards using Power BI, enhancing client access and data analysis, resulting in a 25% increase in client engagement.

Data Analyst

Jireh Computer, Lagos

Utilised Microsoft PowerBI to develop interactive dashboards focused on sales-related data, enabling comprehensive analysis for informed decision-making in capital allocation.
Designed and implemented dashboards to effectively track and measure performance indicators (KPIs) such as profit assessment, productivity, and sales metrics, leading to a 10% increase in operational efficiency through data-driven insights.
Streamlined the analysis of marketing campaigns by automating report generation and creating insightful dashboards in Tableau.
Produced comprehensive reports and visually appealing interactive dashboards, infographics, and charts to effectively convey findings to diverse stakeholders, leading to a 20% improvement in stakeholder comprehension.
Attained high data accuracy rates by ensuring utmost data integrity and quality through meticulous data cleansing, rigorous validation, and robust error detection methods

Data Support Specialist

AlForsan Private School, Qatar

Implemented maintenance strategy that resulted in a 20% decrease in computer equipment downtime, significantly improving the reliability of critical systems and ensuring seamless operations for staff and faculty.
Developed comprehensive training materials and conducted training sessions for staff and faculty, resulting in a reduction in user-reported issues and an increased overall understanding of hardware and software capabilities.
Successfully managed and produced university hardware standards and technical specifications, resulting in more cost effective IT equipment procurement and annual savings within the allocated budget.
Reorganised and simplified technical documentation and reports for equipment maintenance and troubleshooting, streamlining the troubleshooting process, reducing resolution times by 15%, and improving overall efficiency.