Data Analyst / Data Scientist

ODION FORTUNE EHON (MSc. with Distinction)

Data Analyst Data Scientist

Email: *******.******@*****.*** Phone: +1-754-***-****

PROFESSIONAL SUMMARY:

Accomplished data professional with a proven track record in delivering actionable insights through data analytics, business intelligence, and automation. Experienced in Power BI, SQL, Python, and Azure, with a demonstrated ability to support strategic decisions and drive operational efficiency. Skilled in stakeholder engagement, regulatory reporting, and machine learning.

CORE SKILLS

Data Analytics & Visualization: Power BI (DAX, M), Tableau, Excel

Programming & Tools: R, Python (Pandas, NumPy, Scikit-learn, Matplotlib), SQL, VBA

Cloud & Big Data: Azure (Data Factory, Synapse, Databricks), Azure Storage, SharePoint

Database & ETL: SQL Server (SSMS, SSIS), APIs, ETL pipelines

Machine Learning: Regression, Classification, Clustering, Forecasting, A/B Testing, Deep Learning

Compliance & Governance: GDPR, Information Governance, Statutory Returns

Project Management: Agile, Waterfall

WORK EXPERIENCE

Data Analyst (Fire safety Analyst and Coordinator)

EDF ENERGY (Hinkley Point C – Nuclear construction site)

March 2024 to April 2025

•Gathered business requirements through meetings with departmental stakeholders on-site such as Fire safety advisors, Fire alarm engineers, Health and safety professionals defining reporting needs such as fire safety incidents, inspections and related findings or non-compliances, and aligning data solutions with business goals.

•Collated data from various departments (Fire Rescue service, Health and Safety, and Emergency Preparedness) and performed data cleaning and preprocessing utilizing Excel, Power Query editor, or python, to ensure data completeness, suitability and veracity.

•Developed and managed interactive dashboards and visualizations (charts, metrics and plots) using Power BI, enabling real-time monitoring of fire safety and related KPIs, for various contractors on-site.

•Automated data processes by engineering and optimizing ETL pipelines using Python scripts, macros and VBA tools, reducing manual workload and error rates significantly.

•Provided fire safety data for various monthly reports required by senior leadership (Site director and various department managers).

•Spearheaded investigation on disparity in findings between fire safety inspections conducted by the principal contractor (Nuclear New-build) and other on-site contractors. The data deep-dive and accompanying report led to the lifting of negative regulatory score by the Office for Nuclear Regulation (ONR).

•Presented data to internal (INR) and external (ONR) stakeholders during monthly Keep-in-touch (KIT) meetings. Updating on progress made on targets, and identifying areas of safety improvements.

•Responded to daily Ad-hoc data requests by advisors across departments, delivering customized reports within 24 hours on average.

•Documented workflows and processes to ensure consistency, governance, and knowledge retention.

•Developed various trackers and schedules to monitor and report fire risk assessments, and inspections, boosting task completion rates.

Data Analyst (Full Time)

DELOITTE (Analytics Support Centre)

August 2023 to March 2024

•Collaborated closely with client financial auditors to align on audit objectives, advised on data formatting requirements for extraction, and ensured data accuracy and completeness through ongoing follow-up and validation meetings.

•Streamlined data preprocessing and transformation using advanced SQL in SSMS 2019, and VBA, enhancing data quality and consistency across key business datasets.

•Designed and managed centralized databases, and optimized ETL workflows using SSMS, improving data accessibility and reporting efficiency for audit and consulting teams across multiple engagements. Optimized code led to reduced data retrieval time by 50%

•Actively participated in daily sprint meetings to collaborate with cross-functional team members, share knowledge on coding best practices, align on auditor interactions, and contribute to continuous improvement of analytical workflows and team efficiency.

•Led financial reconciliations on large-scale client datasets using advanced SQL queries, ensuring accuracy and completeness across millions of records. Applied client-specified adjustments and transformations, and delivered automated, audit-ready reconciliation Excel reports.

•Systematically documented end-to-end workflows for client data tickets, creating clear, standardized process guides that improved knowledge transfer, reduced processing time for new analysts, and ensured consistent handling of client financial data across the team.

•Conducted onboarding and training sessions for new team members, providing continuous support and mentorship to accelerate their integration and productivity within the team, contributing to smoother workflows and stronger team cohesion.

Project Assistant and Data Analyst

PONTCLEF INTEGRATED CONSULTING

October 2019 to December 2021

•Collaborated on government agricultural and health interventions, supporting data analysis and field coordination to empower over 5,000 rural farmers with modern tools and training, and improve access to malaria and HIV/AIDS treatments in underserved regions—boosting program reach by over 30%.

•Analyzed and interpreted large, multi-source datasets related to agricultural support and public health, identifying trends and generating insights that informed consultant strategies and government decision-making.

•Developed custom project schedules, data trackers, and monitoring forms to support fieldwork, track beneficiary engagement, and improve operational visibility for consultants and stakeholders.

•Translated complex field data into actionable insights, collaborating with subject matter experts to deliver clear, data-backed recommendations for project refinement and resource allocation.

•Created and integrated statistical summaries, charts, and key insights into monthly analytical reports, increasing stakeholder understanding and supporting evidence-based policy discussions.

•Managed and reconciled consultant mission expenditures, ensuring compliance with donor and government financial reporting standards and maintaining timely, accurate documentation.

Data Scientist

DORCAS MOORE (Construction Consulting)

August 2017 to September 2019

•Participated in structural integrity inspections using non-destructive testing (NDT) techniques, collecting and analyzing building data with a Pundit ultrasonic testing device; extracted and processed CSV data files for reporting and further analysis.

•Conducted exploratory data analysis (EDA) on structural integrity datasets from non-destructive testing to identify anomalies, trends, and structural strengths—providing actionable insights that directly supported more accurate and timely building safety assessments.

•Designed, trained, and deployed machine learning models (classification and regression) using Python ML libraries (scikit-learn, TensorFlow) to predict structural risk levels in buildings.

•Improved prediction accuracy by leveraging advanced techniques such as feature selection, dimensionality reduction (PCA, LDA), and hyperparameter tuning—resulting in an 20% increase in model accuracy.

•Collaborated closely with engineering teams to translate predictive insights into actionable recommendations for structural assessments, contributing to more data-driven decision-making.

•Designed and created comprehensive visualizations and plots on Power BI to effectively communicate key insights in client-facing NDT reports.

•Delivered comprehensive training and ongoing support to new team members, enhancing their proficiency in data analysis techniques and tools, through regular sprint meetings and collaborative mentoring sessions.

MEMBERSHIPS AND CERTIFICATIONS

•Association of Data Scientists (aDaSci) - Member

•Microsoft Certified Azure Data Scientist (In progress)

PROJECTS

•Flight Delay Prediction with Supervised Learning – Built ML model to predict delays using regression and Classification techniques on FAA data.: LINK

•Wind energy generation forecast project: LINK

EDUCATION

Master of Science Degree (MSc.) Data Science Grade: Distinction

University of the West of England, Bristol, England, United Kingdom

January 2022 to January 2023

Modules: Advanced Statistics, Programming for Data science, Business Intelligence, Data Management etc.

Bachelor of Science Degree (BSc.) Business Administration

University of Benin, Benin-city, NG.

February 2010 to 2014

Modules: Project Management, Financial Accounting, Business Management, Economics and Statistics, etc.

Contact this candidate