Skip to content
View SGSAMY's full-sized avatar

Block or report SGSAMY

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
SGSAMY/README.md

Hi, I'm Satheesh Gurusamy 👋

Senior Data Analyst with 14+ years of experience in Business Intelligence, Customer Analytics, Marketing Analytics, Campaign Management, Data Engineering, and Reporting.

I specialise in transforming complex data into actionable business insights using SQL, Python, cloud data platforms and Power BI to improve customer retention, optimise marketing performance and drive revenue growth.

Core Expertise

  • Business Intelligence & Data Analytics
  • Campaign Management & Marketing Automation
  • SQL Development & Data Warehousing
  • Data Engineering & ETL Development
  • Power BI Dashboard Development
  • Python Analytics & Machine Learning
  • Customer Analytics & Segmentation
  • Churn, Retention & Lifetime Value Analytics
  • KPI Reporting, Forecasting & Executive Dashboards
  • Insurance & Financial Services Analytics

Tech Stack

Business Intelligence & Visualisation

  • Power BI
  • DAX
  • Power Query
  • Tableau
  • SSRS
  • SSIS

Databases

  • Microsoft SQL Server
  • T-SQL
  • Azure SQL Database

Cloud & Data Platforms

  • Azure Data Factory (ADF)
  • Azure Data Lake
  • Azure Synapse Analytics
  • Snowflake

Programming & Analytics

  • Python
  • Pandas
  • NumPy
  • Scikit-learn
  • SQLAlchemy
  • pyodbc

Marketing & Analytics

  • Google Analytics
  • Adobe Campaign Classic
  • Ometria
  • Pure360 (now Spotler)

Current Focus

  • End-to-End Analytics Solutions using Azure SQL, Python and Power BI
  • Campaign Management, CRM Analytics and Marketing Automation
  • Customer Analytics, Retention and Lifetime Value Optimisation
  • Machine Learning for Marketing and Customer Analytics
  • Data Engineering and Modern Data Platforms
  • Snowflake and Modern Data Warehousing Solutions

Featured Projects

End-to-End Analytics & Data Engineering

Travel Insurance Customer Retention & Revenue Analytics

End-to-end Azure SQL, Python, Data Engineering and Power BI solution delivering customer retention, churn analytics and revenue optimisation insights.

🔗 https://github.com/SGSAMY/azure-sql-python-powerbi-travel-insurance-analytics

Analytics & Machine Learning

Customer Churn Risk Model

Machine learning model for identifying high-risk customers and improving retention strategies.

🔗 https://github.com/SGSAMY/Customer-Churn-Risk-Model

Customer Segmentation & Next Best Action Model

Customer segmentation and recommendation analytics using Python and machine learning.

🔗 https://github.com/SGSAMY/Customer-Segmentation-Next-Best-Action

Campaign Conversion Prediction Model

Predictive analytics model for campaign conversion forecasting and marketing optimisation.

🔗 https://github.com/SGSAMY/Campaign-Conversion-Prediction-Model

Power BI Dashboards

Insurance Performance & Claims Analytics Dashboard

Executive Power BI dashboard for insurance claims analytics, KPI reporting, decomposition analysis, and operational insights.

🔗 https://github.com/SGSAMY/Insurance-Performance-Claims-Analytics-PowerBI-Dashboard

Sales Conversion Dashboard

Sales conversion analytics dashboard with KPI reporting, funnel analysis, forecasting, and YOY trend analysis.

🔗 https://github.com/SGSAMY/Sales-Conversion-PowerBI-dashboard

Connect With Me

Pinned Loading

  1. azure-sql-python-powerbi-travel-insurance-analytics azure-sql-python-powerbi-travel-insurance-analytics Public

    End-to-end Azure SQL, Python, Data Engineering and Power BI analytics solution for customer retention and revenue optimisation.

    Jupyter Notebook

  2. Campaign-Conversion-Prediction-Model Campaign-Conversion-Prediction-Model Public

    Python and Scikit-learn machine learning model for campaign conversion prediction and outbound marketing optimisation.

    Jupyter Notebook

  3. Customer-Churn-Risk-Model Customer-Churn-Risk-Model Public

    Identifies at-risk customers using engagement indicators to support retention-focused marketing strategies.

    Jupyter Notebook

  4. Customer-Segmentation-Next-Best-Action Customer-Segmentation-Next-Best-Action Public

    Enables data-driven customer engagement by combining segmentation, profiling and next-best-action analytics to maximise customer lifetime value.

    Jupyter Notebook

  5. Sales-Conversion-PowerBI-dashboard Sales-Conversion-PowerBI-dashboard Public

    Interactive dashboard for funnel analytics, forecasting and sales performance monitoring.

  6. Insurance-Performance-Claims-Analytics-PowerBI-Dashboard Insurance-Performance-Claims-Analytics-PowerBI-Dashboard Public

    Executive dashboard featuring KPI reporting, claims analytics, decomposition analysis and operational insights.