Open to opportunities

philomena mbura

@philomenambura

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I build production machine learning and data products for agriculture, telecom, and global organizations.

Kenya

Message

What I'm looking for

I'm looking to build and deploy AI, machine learning, and data products that solve meaningful business and social challenges, particularly across African markets. I value cross-functional collaboration, mentoring teams, and translating complex data into measurable outcomes.

At Hello Tractor, I build predictive models for planting, harvesting, fuel monitoring, crop demand, and agricultural resource allocation, alongside scalable data pipelines that support mechanization decisions.

I've also delivered AI and data consulting for global organizations at GLEAC and built churn prediction, M-PESA mini-app recommendation, dashboards, and customer analytics at Safaricom. My work spans machine learning, predictive analytics, business intelligence, geospatial data, and product strategy across African and global markets.

I'm completing an M.Sc. in Engineering Artificial Intelligence at Carnegie Mellon University, where I research crop demand prediction using satellite imagery and market signals and support graduate computer vision teaching. I mentor data professionals, organize technology communities, and have spoken in more than 40 sessions.

Experience

Work history, roles, and key accomplishments

Current

Data Expert Consultant

Current

GLEAC

Dec 2023 - Present (2 years 10 months)

Deliver in-depth data analysis for global organizations, uncovering trends and growth opportunities. Advise enterprise clients on implementing AI-driven models to optimize business processes.

Data Analysis AI Machine Learning Consulting Business Strategy

Current

Data Scientist & Business Analyst

Current

Hello Tractor

Feb 2023 - Present (3 years 8 months)

Architect and deploy predictive models for agricultural optimization, build scalable data pipelines, and analyze large datasets to inform business decisions. Mentor entry-level data team members and collaborate with leadership and product teams.

Machine Learning predictive modeling Data Pipelines Data Analysis SQL Dashboarding Mentor

Research Assistant – Crop Demand Prediction

Carnegie Mellon University

May 2025 - Apr 2026 (11 months)

Develop machine learning models forecasting crop demand and yield using historical agricultural data, satellite imagery, and market signals. Process multi-source geospatial datasets and collaborate with faculty to support food security planning.

Machine Learning Geospatial analysis Remote Sensing Python

Data Scientist

Safaricom PLC

Oct 2021 - Jan 2023 (1 year 3 months)

Built churn prediction model and recommender system for M-PESA app. Performed image and text annotation for CNN classifier and chatbot improvements, and analyzed client trends for Customer Value Management.

Machine Learning Churn Modeling Recommendation Systems Python SQL Data Annotation

Data Analyst

Dukaree Limited

Aug 2021 - Sep 2021 (1 month)

Provided customer support and BI insights on FMCG market space. Queried databases via SQL and produced Power BI dashboards for executives and sales teams.

Data Analysis SQL Power BI Business Intelligence Customer Support

Reservoir Scientist

Kenya Electricity Generating Company (KenGen)

Applied scientific and engineering principles to reservoir management and analysis.

Assistant Android Developer

Studio90 Kenya

Assisted in Android application development tasks and contributed to mobile projects.

Android Java Mobile Development

Digital Human Resource

Nestlé ESAR

Supported digital HR initiatives and processes within the Eastern and Southern Africa region.

Business Intelligence Analyst

Safaricom PLC

Built executive dashboards using Qlik Sense and advanced Excel, extracted and modeled data using SQL. Conducted KPI performance reviews and consolidated weekly management reports for CEO Office.

Business Intelligence Qlik Sense Excel SQL KPI Reporting Data Modeling

Computer Vision Teaching Assistant

Carnegie Mellon University

Support graduate Applied Computer Vision course by leading recitations, designing and grading assignments on CNNs, image segmentation, and 3D vision. Mentor students on real-time image processing projects.

Computer Vision CNN Segmentation 3D Vision Teaching Mentor