Open to Opportunities

Hazael
Juma

// Business & Data Analytics Professional

I turn complex data into clear, decision-ready insights. I specialize in SQL, Power BI, Python, and statistical analysis to help teams improve performance, reduce reporting friction, and act faster with confidence.

Hazael Juma
Hazael Juma
Nairobi, Kenya
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Years Experience
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Projects Delivered
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Tools Mastered
0%
Data Accuracy Rate
Dashboard Development SQL Analysis KPI Reporting Data Cleaning Reporting Automation

Technical Toolkit

SQL
Complex queries, window functions, CTEs, data modelling and performance optimisation across PostgreSQL and MySQL.
Python
Data wrangling with pandas & NumPy, exploratory analysis, automation scripts and cleaning pipelines.
Power BI
Interactive dashboards, DAX measures, KPI tracking, data modelling and business storytelling.
Excel / Google Sheets
Advanced formulas, pivot tables, Power Query, lookup functions and automated reporting workflows.
R (Statistics)
Foundational statistical analysis, data manipulation and publication-quality ggplot2 visualisations.
Data Quality & Governance
Structured QA frameworks, anomaly detection, documentation and ensuring data accuracy and integrity standards.
Cloud Fundamentals
AWS Certified Cloud Practitioner. Familiarity with Azure and GCP for data storage and basic analytics services.

Featured Work

Most Relevant Power BI · DAX

Financial KPI Tracker

Designed an executive-level Power BI dashboard tracking revenue, margins and budget variance in real-time with drill-through capabilities, enabling faster strategic decisions.

  • Problem: Leadership reports were fragmented and slow.
  • Approach: Built KPI dashboard with DAX, drill-through, and clean data model.
  • Impact: Improved decision speed and consistency in weekly reviews.
Power BI DAX SQL Server Power Query
View Project
Most Relevant SQL · Excel

Sales Performance Dashboard

Analysed 2 years of sales data across 5 regions to identify top-performing products and seasonal trends, reducing report generation time by 60%.

  • Problem: Regional sales insights took too long to compile.
  • Approach: Combined SQL extraction with dashboard-ready reporting views.
  • Impact: Report generation time reduced by 60%.
PostgreSQL Excel Power BI
View Project
Python · ML

Customer Churn Prediction

Built a logistic regression model to predict customer churn with 84% accuracy, enabling the retention team to proactively engage at-risk accounts.

  • Problem: Retention outreach was reactive and late.
  • Approach: Trained and validated logistic regression churn model.
  • Impact: 84% prediction accuracy for targeted intervention.
Python scikit-learn pandas
View Project
SQL · Python

Supply Chain Optimisation

Queried and modelled inventory data to detect stockout patterns and over-ordering, saving an estimated $80K in estimated annual carrying costs.

  • Problem: Excess inventory and stockouts increased costs.
  • Approach: Pattern analysis using SQL and Python inventory models.
  • Impact: Estimated $80K annual carrying cost savings.
MySQL Python Tableau
View Project
Python · EDA

E-Commerce Behaviour Analysis

Performed deep exploratory analysis on 500K+ user sessions to identify conversion bottlenecks, leading to a 12% increase in checkout completion.

  • Problem: Checkout funnel had unclear drop-off points.
  • Approach: Session-level EDA and behavior segmentation.
  • Impact: Checkout completion improved by 12%.
Python seaborn Jupyter
View Project
Tableau · R

HR Attrition Study

Investigated attrition drivers using regression analysis and presented findings in an interactive Tableau story for HR leadership decision-making.

  • Problem: HR lacked clarity on attrition drivers.
  • Approach: Regression modeling and Tableau storytelling.
  • Impact: Supported evidence-based retention planning.
R ggplot2 Tableau
View Project

Work History

Mar 2025 – Mar 2026
Remote
Personalised Swahili Internet Assessor
TELUS Digital AI Data Solutions
  • Conducted structured data quality checks on large volumes of structured and unstructured data, maintaining 98% quality accuracy.
  • Reviewed, analysed and validated over 1,000 data outputs weekly, identifying inconsistencies and documenting corrective recommendations.
  • Applied systematic evaluation frameworks to assess text, image, audio and web-based outputs against defined standard operating procedures.
  • Maintained detailed documentation of quality findings and contributed structured feedback to enhance algorithm performance.
Nov 2024 – Apr 2025
Mombasa
Undergraduate Research Project
Technical University of Mombasa
  • Analysed business workflows in the rental property sector to identify inefficiencies in listing, booking and communication processes.
  • Modelled data structures and relationships to support a proposed web-based property management platform.
  • Conducted data collection, cleaning and analysis to generate insights on operational gaps; produced structured recommendations report.
May 2024 – Aug 2024
Mombasa
IT Support Assistant
Mikindani Youth Development Center
  • Managed and maintained IT infrastructure for 20+ digital workstations, keeping systems at 95% uptime.
  • Prepared and monitored programme budgets and reports, improving financial reporting accuracy by 20%.
  • Maintained accurate digital records for over 250 training participants, improving data completeness and accessibility.

Credentials

AI Business Practitioner
Cisco U
March 2026
BBIT, Second Class Honours, Upper Division
Technical University of Mombasa
November 2025
Data Analytics
ALX Africa
September 2025
Professional Foundations
ALX Africa
March 2025
Business Communications
HP LIFE
January 2025
McKinsey Forward Program
McKinsey Academy
July 2024
Cybersecurity Fundamentals
IBM SkillBuild
May 2024
AWS Certified Cloud Practitioner
Amazon Web Services
February 2024
Technical Writer
Educative.io
May 2023

About Me

Hazael Juma
Nairobi, Kenya BSc. Business & IT Data Science — ALX Open to Work

Turning Data into
Decisions that Matter

I am a Business and Data Analytics professional focused on helping teams make faster, evidence-based decisions through cleaner data and clear reporting.

  • Build KPI dashboards and executive reporting views for day-to-day business decisions.
  • Analyze operational and customer data to uncover trends, risks, and growth opportunities.
  • Translate technical findings into clear recommendations stakeholders can act on.

I hold a Bachelor of Business and Information Technology from the Technical University of Mombasa and continue advancing in applied analytics and data science.

I am currently open to full-time, freelance, and consulting opportunities in analytics, reporting, and decision support.

Let's Work Together

Have a project
in mind?

Share your challenge and I will propose a clear analytics plan. From dashboard builds to end-to-end analysis engagements, I focus on outcomes you can act on quickly.

Usually responds within 24 hours · EAT (UTC+3)

Send a Message