Hi, I'm Clara Tan,

a HRDC Accredited Excel & AI Trainer

Training Hour

700+ hr

Trained Participant

1000+ people

About Me

I am a Data Analysis Expert and HRDC-Accredited Trainer specializing in Microsoft Excel, Power BI, Canva, Google Workspace, and leading AI tools such as ChatGPT, Claude, Napkin, and NotebookLM. With 500+ training hours delivered across 50+ corporate clients, I have empowered professionals from HR, finance, marketing, and operations to work smarter with data and automation.

My expertise includes data analysis, workflow automation, HR analytics, and reporting solutions. I have successfully automated end-to-end business processes using n8n, WhatsApp API, Google Apps Script, and AI-driven tools — streamlining reporting workflows for over 10,000 customers and helping organizations reduce manual work, errors, and turnaround time.

I combine technical mastery with real workplace scenarios to ensure every participant gains practical, immediately applicable skills. My mission is to help individuals and businesses turn raw data into clear insights, automated workflows, and confident decision-making.

More About Me

Technical Skills

Data Processing & Analysis: Power Query, Power Pivot, Excel, Power BI
Data Modeling: Data transformation, relationship mapping, performance analytics
Visualization & Reporting: Pivot Tables, Dashboards
Automation & Efficiency: Power Query automation, dynamic reporting
Data Integration: Merging large datasets, linking multiple sources
Statistical Analysis: Trend analysis, forecasting, comparative analysis

Professional Experience

Automated Attendance & Performance Tracking System for Education
Developed an advanced attendance tracking system, efficiently processing 100,000+ rows of student data using Power Query, reducing manual tracking time from 5 hours per day to 30 minutes.
Integrated data from multiple sources (student ID, attendance records, parent contact) to create a centralized database, enabling real-time attendance monitoring and automated trend analysis.
Designed a student transition rate model, leveraging Power Query and Power Pivot for dynamic monthly comparisons, providing insights into student retention rates and movement trends.
Built an automated student performance evaluation system, integrating 60+ data tables (meeting attendance, engagement metrics, test scores) to streamline monthly performance tracking.
Created interactive Power BI dashboards, visualizing student progress and attendance patterns, empowering educators with actionable insights to improve student engagement and retention strategies.