Mmesoma Udensi

Results-Driven Data Analytics Professional
Washington, US.

About

Results-driven data analytics professional adept at leveraging SQL, Python, and dbt to build scalable data pipelines, develop intuitive dashboards, and deliver actionable insights. Proficient in advanced data visualization tools and machine learning, Mmesoma excels at cross-functional collaboration to drive product development and strategic business decisions in fast-paced, agile environments.

Work

Credential Engine
|

Data Engineer

Washington, District of Columbia, US

Summary

Led the design and deployment of an LLM-powered ETL pipeline to transform unstructured educational data for 60+ partner institutions, significantly enhancing data accessibility and consistency.

Highlights

Designed and deployed an LLM-powered ETL pipeline using the Gemini API, transforming unstructured educational data into CTDL-compliant formats for 60+ partner institutions.

Built scalable ingestion tools with Python and Flask, reducing partner onboarding time by 80% and enabling seamless integration for non-technical users.

Implemented schema validation, mapping, and audit traceability, ensuring data accuracy and regulatory compliance across data processes.

Led Agile sprint collaborations with stakeholders, integrating feedback for continuous pipeline improvements and feature enhancements.

Illinois Business Consulting
|

Strategy Analyst

Champaign, Illinois, US

Summary

Delivered actionable reporting insights and visualizations on AI-driven electricity demand, directly supporting strategic decisions for Fortune 500 energy sector clients.

Highlights

Analyzed complex AI-driven electricity demand data to generate actionable reporting insights and visualizations for Fortune 500 energy sector companies.

Designed and analyzed a student accessibility survey (n=34) using Qualtrics and Excel, identifying behavioral trends that informed adaptive program feasibility.

Lagos State Ministry of Housing
|

Data Analyst

Lagos, Lagos, Nigeria

Summary

Optimized data extraction and visualization processes for the Ministry of Housing, improving resource allocation and reporting efficiency across 15+ local government areas.

Highlights

Wrote and optimized SQL queries to extract critical data from the ministry's housing database, supporting weekly updates on construction timelines and fund disbursement.

Monitored occupancy rates and housing demand trends, contributing to the reallocation of resources to high-need districts and improving unit utilization by 18%.

Developed and maintained interactive Tableau dashboards to visualize housing project progress across 15+ local government areas, reducing reporting time by 30%.

JUMO
|

Market Research Analyst

Cape Town, Western Cape, South Africa

Summary

Conducted comprehensive market research and competitive analysis, generating insights that enhanced customer engagement and refined market positioning strategies.

Highlights

Conducted customer surveys with 100+ respondents, generating insights that increased customer engagement by 15%.

Analyzed 60+ competitors in Nigeria, producing detailed reports that improved market positioning and pricing strategies.

Babban Gona
|

Machine Learning Intern

Lagos, Lagos, Nigeria

Summary

Supported the development and pilot deployment of machine learning solutions to enhance crop health classification and improve data-driven agricultural management.

Highlights

Enhanced crop health classification model precision by 20% through annotation of 10,000+ labeled images.

Supported pilot deployment of machine learning tools to 500+ farmers, enabling data-driven crop management decisions.

Education

University of Illinois at Urbana-Champaign
Champaign, Illinois, United States of America

Master of Science (STEM)

Business Analytics

Grade: 4.0/4.0

Courses

Big Data Analytics

Enterprise Database Management

Big Data Infrastructure

Financial Risk Management

University of Lagos
Lagos, Lagos, Nigeria

Bachelor of Science

Electrical and Electronics Engineering

Grade: 4.38/5.0

Certificates

AWS Certified Cloud Practitioner

Issued By

Amazon Web Services

Google Data Analytics Professional Certificate

Issued By

Google

Skills

Programming Languages

Python, SQL, Bash, R, SAS.

Data & Cloud Tools

AWS, Airflow, dbt, Databricks, Spark, Terraform, Git, Tableau, Power BI.

Data Concepts & Methodologies

Data Modeling, CI/CD, Data Visualization, Machine Learning, Statistical Analysis.

Projects

Credit Rating Model

Summary

Built a SAS-based statistical model to predict corporate bond credit ratings using firm-level financial ratios and capital structure data.

AWS Marketing Offers Pipeline

Summary

Engineered an event-driven architecture with AWS Kinesis, Lambda, and DynamoDB to process 5,000+ events/hour.

Property Valuation Model

Summary

Developed a real estate price forecasting pipeline using regression and random forest models.