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Registration: 05.09.2025

Hani Suraiya Abd Rahman

Specialization: Data Analyst
— Dynamic and detail-oriented Data Analyst with hands-on experience managing large datasets and delivering data-driven solutions across Finance, HR, and Safety departments. — Skilled in building dashboards, automating workflows, and applying machine learning techniques to turn complex data into actionable insights, consistently completing projects on time with measurable impact.
— Dynamic and detail-oriented Data Analyst with hands-on experience managing large datasets and delivering data-driven solutions across Finance, HR, and Safety departments. — Skilled in building dashboards, automating workflows, and applying machine learning techniques to turn complex data into actionable insights, consistently completing projects on time with measurable impact.

Skills

Data Visualization
Power BI
Python
Matplotlib
Seaborn
VBA
Power Platform
Machine Learning
BERTopic
Large Language Model
Tesseract OCR

Work experience

Assistant, Operations Excellence Department
since 09.2023 - Till the present day |CarigaliHess Operating Company
Data Visualization, Power BI, Python, Matplotlib, Seaborn, VBA, Machine Learning
Developed Interactive PowerBI Dashboards. ● Reduced report preparation time from 1 hour to 15 minutes by automating data visualization for meetings. ● Improved data accuracy to 90% through automated dashboards, enhancing transparency and reliability of reporting. ● Increased adoption of dashboards, enabling more users to analyze large datasets effectively and make data-driven decisions. Automated Workflow Processes with VBA/Python. ● Automated certificate generation in Excel using VBA, reducing processing time from several hours to just 30 minutes for hundreds of certificates. Implemented Safety Analysis with Machine Learning. ● Applied BERTopic to analyze and cluster over 10,000+ safety records, uncovering recurring issues and emerging trends. ● Improved incident trend identification by 30%, enabling the Safety department to proactively address high-risk areas. ● Supported targeted safety campaigns that increased employee awareness, contributing to a reduction in reported minor incidents during campaigns by 15%.

Educational background

Information System (Bachelor’s Degree)
Intelligent System Engineering, Uitm

Languages

EnglishAdvancedMalayProficient