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Mentorship

Data & AI mentorship. Build a project you can explain.

From Nairobi, Kenya, with projects grounded in African business contexts.

Pick a tool, a topic, or both. Tell us what you want to build. We review your goals before confirming your place, sessions, and price.

Send your tool or topic on WhatsApp. We review your goal before confirming sessions and price.

Mentorship voices

In their own words.

Wholesome! I got the opportunity to learn more and gain practical insights to kick-start my data career.”

Maria

Ezra makes learning fun and engaging. If he were a lecturer, no student would want to miss his classes. What I admire most is how he challenges us to solve African problems with African solutions, inspiring us to move from learners to builders and innovators.”

Alois

It is truly amazing how Ezra dedicates his time to mentoring newcomers in the industry. His training session on AI agents was a standout moment for me; it really put things into perspective and made me realize just how much work and learning I have ahead of me.”

Nimo

Ezra’s hands-on coaching strengthened my Python, Tableau, Power BI, Excel, data modeling, and n8n skills. I now deliver more accurate, executive-ready analytics and have made real progress toward becoming an industry-ready data analyst and data scientist.”

Ferroh

Ezra helped me move beyond building dashboards to uncovering meaningful insights, understanding trends, and turning data into actionable business decisions. His practical coaching strengthened my analytical thinking and business intelligence skills.”

Joel

The mentorship is mentee-led, with Ezra making sure everyone grasps each concept before moving to the next. The sessions are very interactive, and the projects are diverse and mimic real-world scenarios. Highly recommend.”

Angie

Our mentee community

Organizations our mentees work in.

Our mentees bring experience from different teams and industries. These are their workplaces, not Ubuntu Analytiq clients or sponsors.

  • DairyCore logoDairyCore
  • PwC logoPwC
  • Watu Credit logoWatu Credit
  • Midea logoMidea
  • Naivas Supermarket logoNaivas Supermarket
  • Standard Bank Eswatini logoStandard Bank Eswatini
  • TIFA Research logoTIFA Research
  • M-Pesa Africa logoM-Pesa Africa
  • Selecta One logoSelecta One
  • Wananchi Telecom logoWananchi Telecom

Choose your focus

Start with the work you want to do.

Tool and topic choices help us match you with useful projects. You can choose both when you contact us.

Tools

ExcelPower BISQLDatabricksFabricn8n

Topics

Data AnalysisAgentic AIData ScienceBusiness Intelligence

Decision Lab project track

Build around a decision a real team needs to make.

Selected projects come from organization problems. We turn them into focused learning briefs using approved or synthetic data, so you can build, test, and explain a useful solution with mentor review.

Ask about the project track

From a safe brief to reviewed work

  1. 01Match: we review your tools, experience, and learning goal against available briefs.
  2. 02Build: work within the approved scope using safe data; get mentor guidance and review.
  3. 03Test and explain: check the result, present your decisions, and improve the work from feedback.

Project availability, sessions, and pricing are confirmed after review. Deployment is a separate organization approval step. Client data or work may only be shared in a portfolio with permission.

See how organizations bring a problem

Illustrative learner briefs

The project is where the learning becomes visible.

These examples show the shape of a learner project. We agree your actual brief after reviewing your goal and level.

Excel

Make sense of a small business sales file

Clean the data, compare products and months, and explain one decision the owner could make.

Power BI

Build a reporting view people can use

Define a few useful measures, build a readable dashboard, and explain what needs attention.

SQL

Answer a business question from raw tables

Write and explain queries that turn orders, customers, or operations data into a clear finding.

n8n

Map and build a small AI workflow

Connect a trigger, approved data, and a review step; explain where a person should stay in control.

Choose your support

Three clear ways to grow.

Project Practice

Build independently with a project brief, dataset, and worked solution after your attempt.

  • Project brief and dataset
  • Submission space
  • Worked solution after submission

Price and session count confirmed after review.

Ask about Project Practice

Mentor Walkthrough

Build the project, then work through it in a scheduled group session with a mentor.

  • Everything in Project Practice
  • Group walkthrough
  • Live questions

Price and session count confirmed after review.

Ask about Mentor Walkthrough

Build & Present

Present your solution and receive personal feedback on your work and explanation.

  • Everything in Mentor Walkthrough
  • Personal project review
  • Solution presentation and feedback

Price and session count confirmed after review.

Ask about Build & Present

People behind the guidance

Meet the mentors featured by Ubuntu.

The right reviewer depends on your chosen project and availability. Mentor participation is confirmed with your offer.

Jacktone Etemesi

Senior Data Scientist

Guides learners through Python analytics, SQL, business questions, and portfolio-ready project reviews.

Ezra Muinde

Data & AI Engineer

Helps learners turn everyday data into decisions, dashboards, AI-assisted workflows, and practical portfolio projects.

Amina Wanjiku

BI Lead

Supports analysts moving from spreadsheet reporting into executive-ready Power BI dashboards and KPI systems.

Brian Otieno

Analytics Data Engineer

Guides learners on SQL, clean data models, analytics tables, and the handoff between databases and BI tools.

Njeri Kamau

Finance Analytics Specialist

Helps finance teams turn cashflow, budget, and P&L questions into reliable models and clear recommendations.

Samuel Kiptoo

Machine Learning Engineer

Coaches Python learners through modelling basics, evaluation, feature thinking, and portfolio-ready notebooks.

How it works

We review your goal before agreeing the offer.

  1. 1Tell us your tool or topic and the work you want to learn.
  2. 2Share your goal, experience, preferred project, and availability.
  3. 3We review the request and confirm the scope, sessions, and price.
  4. 4Once approved, we explain payment, project access, and how to submit your work.
Ask about Mentorship on WhatsApp

More ways to work together

Full mentor package

Want ongoing sessions with one mentor? Mention this in your request. We will confirm the number of sessions and a separate price.

Custom group mentorship

For teams or communities with a shared goal. Tell us your group size and focus; we will shape a tailored programme.

Ask about a group programme on WhatsApp