Summary
Overview
Work History
Education
Skills
Projects
Timeline
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Alena Cheah

San Diego,CA

Summary

Insightful Data Analyst Intern known for high productivity and efficiency in task completion. Specialized in data visualization, statistical analysis, and database management. Excel in problem-solving, communication, and teamwork to deliver actionable insights from complex datasets.

Overview

2
2
years of professional experience

Work History

Data Analyst Intern

Asianmax Sdn Bhd
Kuala Lumpur, Malaysia
06.2025 - 09.2025
  • Developed an automated data cleaning script used across multiple projects, streamlining data preparation, improving data accuracy, and reducing manual retrieval and preprocessing time by 70%.
  • Created reports and data visualizations in Excel and Power BI, enhancing clarity of internal project updates and supporting informed decision making.
  • Analyzed operational data across multiple regions in Malaysia, uncovering regional trends and performance differences to guide strategic initiatives.
  • Coordinated with team members to verify data accuracy, ensuring project timelines were met and facilitating effective stakeholder communication.

STEM Mentor, SEEDS Program

USC Rossier School of Education
Los Angeles, USA
08.2023 - 06.2024
  • Mentored middle and high school students from underrepresented communities in STEM workshops, applying cognitive science principles to foster deeper understanding of scientific concepts.
  • Created interactive learning materials to increase student engagement and comprehension of scientific concepts.
  • Guided students in developing academic and personal skills.
  • Facilitated workshops on effective study techniques and time management.
  • Collaborated with faculty to align mentoring strategies with educational goals.

Education

B.S. - Cognitive Science, Machine Learning Specialization

University of California, San Diego
San Diego, CA

Skills

  • Data analysis and visualization
  • Data cleaning and wrangling
  • Regression and classification analysis
  • Clustering and feature extraction
  • Python programming
  • NumPy and pandas libraries
  • SQL and Microsoft SQL Server
  • Excel proficiency
  • Power BI expertise
  • Matplotlib and Seaborn usage
  • Predictive analytics techniques
  • CRM platforms familiarity (HubSpot, Salesflare, Airtable)
  • Record deduplication practices
  • Workflow automation strategies
  • Dashboard creation for CRM insights
  • Process documentation and system optimization

Projects

  • Lifestyle Factors and Cognitive Performance Analysis, GitHub, Analyzed a lifestyle dataset with 10,000+ records to investigate relationships between sleep, screen time, productivity, and cognitive performance indicators., Performed exploratory data analysis and developed predictive models (linear regression, random forest) using Python (pandas, NumPy), visualizing patterns with Matplotlib and Seaborn.
  • Environmental Zoning and Behavioral Focus Analysis, Geisel Library Study, Designed and conducted an observational study examining how environmental factors influence student focus in public study spaces., Collected and analyzed 115 behavioral observations across library floors using a structured distraction scoring system, identifying trends in noise levels, phone use, and collaboration.

Timeline

Data Analyst Intern

Asianmax Sdn Bhd
06.2025 - 09.2025

STEM Mentor, SEEDS Program

USC Rossier School of Education
08.2023 - 06.2024

B.S. - Cognitive Science, Machine Learning Specialization

University of California, San Diego
Alena Cheah