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ipang User

@ipanguser

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Data science graduate skilled in machine learning, automation, and data-driven insights.

Malaysia

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What I'm looking for

I seek a data-focused role where I can apply machine learning, automation, and visualization skills to deliver actionable insights and support data-driven decisions.

I am a detail-oriented Computer Science graduate specializing in Data Science with hands-on experience in automation, data visualization, and machine learning. I have built predictive models using ARIMA and Random Forest, and applied NLP for sentiment scoring to support investment insights.

I led teams on projects including a stock market prediction final-year project and a student-grade prediction system, demonstrating leadership, data preprocessing, model evaluation, and practical deployment skills. In an internship, I delivered automation and digital transformation across multiple departments using VBA, Power Platform, SharePoint, and Power BI.

I bring strong technical proficiency in Python, R, SQL, Power BI, and related tools, plus a collaborative mindset focused on delivering actionable dashboards and streamlined workflows to drive data-driven decision-making.

Experience

Work history, roles, and key accomplishments

Continuous Improvement Intern

WPP Business Services Sdn Bhd

Mar 2025 - Sep 2025 (6 months)

Led digital transformation initiatives across six departments by developing VBA-driven Excel tools, PowerApps, and Power Automate solutions that saved ~1 hour of manual work per team per day and centralized data into a unified SharePoint list to improve accessibility.

VBA Excel Power Automate SharePoint Power BI Figma Process Automation Data Centralization

Final Year Project Lead

Universiti Malaysia Sabah

Feb 2025 - Feb 2025 (0 months)

Developed a stock market prediction model combining ARIMA, Random Forest, and NLP-driven news sentiment analysis, selecting ARIMA for optimal time-series forecasting and improving prediction reliability.

Python ARIMA Random Forest NLP Sentiment Analysis Time Series data preprocessing Model Evaluation

Project Team Lead

Universiti Malaysia Sabah

Jun 2023 - Jun 2023 (0 months)

Led a nine-member team to build a student grade pass/fail prediction system using Naive Bayes and Decision Tree in R, managing data cleaning, model evaluation, and project coordination to deliver actionable academic insights.

R RStudio Naïve Bayes Decision Trees Data Cleaning Model Evaluation Team Leadership Statistical Analysis

Education

Degrees, certifications, and relevant coursework

Universiti Malaysia Sabah

Bachelor of Computer Science with Honours, Data Science

2021 -

Grade: 3.57/4.0

Activities and societies: Dean’s List (Semesters 1,2,5,7,8); Faculty and campus clubs and volunteer activities including PMFKI, KESUWA, PERMANIS; leadership roles in TechXplore and event hosting.

Bachelor of Computer Science with Honours (Data Science) pursuing coursework and projects in machine learning, data visualization, and NLP with a current CGPA of 3.57/4.0.