SELECTED PROJECTS

Practical examples of analytics in action

The projects below demonstrate practical work across business intelligence, customer analytics, dashboard development, machine learning and AI-assisted analysis.

They use public, academic, training or demonstration datasets and are intended to show methods, technical skills and analytical thinking.

FEATURED WORK

Analytics made visible

Two examples of how complex business data can be turned into clear dashboards and decision-support information.

E-Commerce Performance Dashboard

BUSINESS INTELLIGENCE

E-Commerce Performance Dashboard

Interactive dashboard for tracking revenue, conversion, product performance and sales-channel activity.

Looker Studio E-Commerce KPI Reporting
Business focus

Brings key performance indicators into one clear view so trends and changes can be identified more quickly.

View Project
Customer Churn Risk Dashboard

POWER BI

Customer Churn Risk Dashboard

Power BI dashboard for grouping customers by churn risk and supporting more targeted retention decisions.

Power BI DAX Customer Analytics
Business focus

Helps identify higher-risk customers early and improves visibility into overall churn exposure.

View Project

MORE ANALYTICAL PROJECTS

Additional examples

CUSTOMER ANALYTICS

Churn Risk Analysis & Customer Segmentation

Behaviour-based churn analysis used to classify customers into low, medium and high-risk groups.

Key insight: Customer inactivity was one of the strongest indicators of elevated churn risk.
Python Pandas Jupyter Feature Engineering
View on GitHub

MARKETING ANALYTICS

Personal Loan Campaign Targeting

Machine-learning analysis designed to identify customers with a higher probability of responding to a loan offer.

Result: Improved identification of likely responders for more focused campaign targeting.
Python Scikit-learn Decision Trees Model Evaluation
View on GitHub

DEMAND ANALYSIS

FoodHub Marketplace Demand Analysis

Analysis of restaurant and ordering behaviour to identify demand patterns and support data-driven marketplace decisions.

Result: Insights that can support platform optimisation, restaurant onboarding and targeted marketing activity.
Python Pandas Matplotlib EDA
View on GitHub

AI & NLP

Stock Market News Sentiment Analysis & Summarization

LLM-assisted analysis of financial news for sentiment classification and automated summarisation.

Result: Automated pipeline for faster interpretation of news sentiment and weekly market-related text patterns.
Python Transformers Hugging Face NLP
View on GitHub

ABOUT THIS PORTFOLIO

What these projects are intended to demonstrate

The portfolio focuses on practical analytical methods, technical implementation, interpretation of results and business-oriented problem solving.

The projects are not presented as confidential client work. Where applicable, they use public, academic, training or demonstration datasets.

BROADER CAPABILITIES

Beyond individual projects

Additional work includes business intelligence, AI-assisted analysis, automated reporting, decision dashboards and analytics integration in web-based solutions.

View AI & Data Business Solutions

EXPLORE FURTHER

See how these capabilities connect with the planned services

The Services page explains the types of analysis, dashboards and reporting support planned for intelligentbizops.

View Planned Services Express Interest