George Osagiri

• Built models for fair transport-cost estimation to support transparent logistics pricing.

• Created automated Power BI dashboards for customer segments, product performance, and revenue KPIs, boosting reporting efficiency.

• Evaluated user engagement and feature adoption to guide product improvements.

• Ensured high data quality by leading validation and monitoring processes.
Partnered with O

• Analyzed and cleaned large datasets from farmer surveys and operational systems to support business insights.

• Built interactive Power BI dashboards to track key metrics like retention and churn for 60,000+ farmers.
Developed automated ETL workflows to streamline data extraction and reporting.

• Used SQL and Python (Pandas, NumPy, Matplotlib) to explore data, model trends, and run analysis.
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• Designed data tracking systems for monitoring poultry farmer empowerment and
productivity.
• Led M&E activities developing dashboards and KPIs for 600+ farmers.
• Analyzed impact indicators for MasterCard Foundation projects, supporting data-driven
program evaluation.
• Strengthened partnership by integrating insights with local authorities and stakeholders.

Supported data analysis work during an internship as a Data Fellow at Quantum Analytics NG.

• Managing Complex Emergencies
• Understanding Humanitarian Principles, Values and Ethics
• Humanitarian Systems and Actors
• International Conventions on Armed Conflict
• Sourcing of Internal Displacement Data
• Learning Research Methodology for Humanitarian Action
• Coordinating Mobile Data Collection
• Constructing Templates for Aid Work
• Understanding Personal Security for Aid Workers
• Under

• Effectively manage all
sub-units (recruitment, members experience, operations, logistics and sales) teams harmonising resources to actualize set objectives in time while mitigating risk factors.
• Responsible for creating, improving and developing program strategies.

• Monitoring and Evaluation of program to track progress and ensure successful operations.
• Training of teams with required ski

• Manage a private operation to aggregate grains and tuber
crops with prospects, store in warehouses while keeping
inventory on stocks then supply off-season which contributes
to the reduction of post-harvest losses in Nigeria.
• Ensuring proper tracking of fleet/trucks during the supply
chain.
• Survey market to ascertain best market entry point.
• Data entry, analysis, and tracking to ensur

Worked as a Web Designer on freelance projects.

Evaluated search engine results as a freelance Search Engine Evaluator for Appen.

Implement all Food Security activities within the work plan and offering technical guidance to the team.

Ensure that beneficiaries are effectively targeted according to vulnerability criteria.

Work with all program teams, M&E on food security monitoring including baselines, end-lines, midterm reviews, lesson learning exercises and evaluations and ensure learning informs programming.

Develop act

Work collaboratively with the project manager and team to maximize productivity
Collaborate with the whole project team, contributing to the entire project lifecycle
Organize and monitor schedules and see that deadlines are met
Coordinate efforts within the team and with outside consultants efficiently
Report updates verbally and in written form to management
Monitor budget and help ensure resourc

Completed an internship at Kogi State University.

• Entering of customer and account data from source
documents within time limit.
• Compiling, verifying accuracy, and sorting information to
prepare source data for computer entry.
• Reviewing data for deficiencies or error, correcting any
incompatibilities, and checking output.

Completed advanced training in Machine Learning and Data Science, covering the full ML lifecycle including data preparation, feature engineering, model training, evaluation, and deployment concepts. Gained hands-on experience with supervised, unsupervised, and reinforcement learning, applying algorithms such as linear regression, decision trees, and clustering, with model development and evaluatio

Python programming: data structures, functions, loops, and clean coding practices
Data analysis: Pandas and NumPy for data cleaning, transformation, and feature engineering
Exploratory Data Analysis (EDA): statistical summaries, correlation analysis, trend and outlier detection
Data visualization: Matplotlib and Seaborn for analytical and explanatory visuals
Statistics: probability concepts, descr

Microsoft Excel: Data cleaning, formulas, pivot tables, exploratory analysis, and reporting
SQL: Writing queries for data extraction, joins, aggregation, and analysis
Microsoft Power BI: Data modeling, DAX basics, interactive dashboards, and business insights
Stata: Quantitative data analysis, regression, and statistical modeling
NVivo: Qualitative data analysis, coding, and thematic analysis
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