Data Analytics Portfolio

Technical Skills:

PowerBI, Python, SQL, BigQuery, Looker Studio, Jupyter Notebook, Spreadsheets, Tableau, Quicksight, Google Cloud Data Platform, DAX, Microsoft Excel.

Certifications

• Microsoft Certified: Power BI Data Analyst Associate (PL-300) (Apr 2025) Verify
• Microsoft Power BI Data Analyst Specialization (Apr 2025) Verify
• Google Cloud Data Analytics Professional Certificate (Dec 2024) Verify
• Google Business Intelligence Certificate (July 2024)Verify
• Google Advanced Data Analytics Certificate (JUNE 2024) Verify
• Google Data Analytics Professional Certificate (FEB 2024) Verify
• Agentic AI and AI Agents for Leaders (JUNE 2025 - Ongoing)
• Preparing for Google Cloud Certification: Machine Learning Engineer (MAY 2025 - Ongoing)

Projects

ETL and a Live Dashboard for digital campaign analysis

• Designed and automated an ETL pipeline in BigQuery to unify and clean CRM lead data across recurring sheets, reducing reporting errors by 25%, saving ~40 hrs monthly and enabling dynamic campaign attribution. This helps streamline data sources and maintain a single source of truth for advertising campaign analysis with a live dashboard, allowing access control and minimising errors.
• Tools & Skills involved - SQL, Google Spreadsheets, Excel, BigQuery, Google Data Cloud, Google Ads

GoogleAds_Dashboard for Click Attrbution

• Guiding the client in setting up a Google Ads dashboard focused on pre-lead performance indicators such as spend, CTR, CPC, and CPL. These metrics were broken down by device type, ad type, gender, and age group. The objective was to track pre-lead trends and establish a clear connection between ad spend, individual keywords & clicks and lead generation & quality.
• Tools & Skills involved - SQL, Looker Studio, Looker, Excel, BigQuery, Google Data Cloud, Google Ads