Data Analyst • Cloud Analytics • Forecasting

Turning data into clear, practical insight.

Portrait of Kagna Em

I build analytics projects across Microsoft Fabric, Python, Power BI, Google BigQuery, and Looker Studio. My portfolio focuses on machine learning, forecasting, dashboards, and real-world data storytelling.

  • Python, SQL, Power BI, Microsoft Fabric
  • Forecasting, reporting, dashboards, machine learning
  • Azure and Google Cloud analytics workflows

Featured portfolio work

Compact project cards keep the page easy to scan. Open any card to see the tools, methods, and repository link.

Microsoft Fabric • Python

Azure-Fabric-Machine-Learning

Machine learning notebooks for loan prediction, churn, house prices, and sales forecasting.

Read more
  • Logistic Regression and Random Forest
  • ARIMA forecasting
  • GitHub-friendly notebook storytelling
Open repository

Power BI • Fabric • DAX

Donor-Behavior-Analysis-Forecasting

Anonymized real-world donor analytics with segmentation, dashboards, and forecast model comparison.

Read more
  • RFM analysis and donor mapping
  • Prophet and comparative forecasting
  • Power BI dashboard design
Open repository

BigQuery • Looker Studio • SQL

Google-Analytics

Global temperature analysis using BigQuery reporting tables, SQL workflows, and an interactive dashboard.

Read more
  • Cloud-based analytics workflow
  • Dashboard screenshots and insights report
  • SQL-driven reporting dataset
Open repository

Python • Trade Analysis • Forecasting

NZ-International-Trade

New Zealand trade analysis with CPI, time-series interpretation, and workbook-aligned forecasting comparison.

Read more
  • Exploratory analysis and trade trends
  • Time-series and forecast comparison
  • Notebook, spreadsheet, and project paper
Open repository

Process Design • Reporting

Process-Workflow-Automation

Workflow design, process improvement, and automation-oriented problem solving for reporting operations.

Read more
  • Workflow improvement themes
  • Operational support for analytics
  • Reusable process-focused portfolio space
Open repository

Tools and strengths

A practical mix of analysis, reporting, forecasting, and cloud-based data work.

Core Stack

Python SQL Microsoft Fabric Power BI DAX Power Query Ms Excel Power Pivot Google BigQuery Looker Studio

Project Strengths

  • Exploratory data analysis and reporting
  • Forecasting and predictive modelling
  • Dashboard design and data storytelling
  • Data modelling and transformation
  • Workflow improvement and process support

Capability Radar

Analytics
Dashboarding
Forecasting
Cloud Tools
Process Design

How I work

I enjoy connecting technical work to practical decision-making, with an emphasis on clarity, structure, and useful reporting outputs.

Analytics and Reporting

Building analyses that move from raw data to actionable interpretation using notebooks, dashboards, and cloud reporting tools.

Forecasting and Modelling

Applying statistical and machine learning methods to compare models, evaluate performance, and explain results in business terms.

Cross-Tool Workflows

Working across Microsoft Fabric, Power BI, Excel, BigQuery, and Python to support full workflows rather than isolated outputs.

Communication and Context

Presenting technical work clearly to different audiences, shaped by experience in community-facing and cross-cultural environments.

Interactive showcase

This site can display embedded dashboards when the source allows embedding. Below is a live Looker Studio example from the global temperature project.

If the embedded report does not render in some browsers, you can open it directly in Looker Studio.

Let’s connect

If you’d like to discuss data analysis, dashboards, reporting, or forecasting work, feel free to reach out.