I'm an aspiring Data Analyst based in Malaysia, with a broader passion for the entire data field analytics, science, and engineering. I'm building my foundation through hands-on projects, certifications, and a commitment to continuous learning.
I recently completed the Google Data Analytics Professional Certificate and am actively seeking my first role as a junior data analyst. Long-term, I'm working toward a career that spans the full data lifecycle, from engineering pipelines, to analyzing patterns, to building predictive models. Every project I take on is a step in that direction.
- 📊 Advanced SQL, statistical analysis, Tableau, Power BI
- 🐍 Python for data analysis (pandas, NumPy)
- 🤖 Foundations of machine learning and data modeling
- 🔧 Data pipeline concepts (ETL, data warehousing)
- ✅ Google Data Analytics Professional Certificate (Coursera)
- 🎯 Planned: Google Advanced Data Analytics, IBM Data Science, AWS / Azure data engineering tracks
| Domain | Tools |
|---|---|
| Languages | R, SQL, Python (learning) |
| Visualization | ggplot2, Tableau, R Markdown |
| Data wrangling | tidyverse, dplyr, lubridate, janitor |
| Workflow | Git, GitHub, RStudio, Excel, Google Sheets |
🎯 Bellabeat Marketing Analysis A full six-phase analysis of smart device usage data, producing three high-level marketing recommendations for a wellness technology company. Tools: R, ggplot2, R Markdown.
(More projects coming as I expand into data science and engineering territory.)
I believe every meaningful business decision starts with a question, and every good question deserves data behind it. I'm eager to contribute to teams that value evidence-driven thinking — whether that means cleaning messy data, surfacing insights from it, or building the systems that make data usable in the first place.
- 📧 danieljasme5@gmail.com
Thanks for stopping by. If you're hiring internship, collaborating, or just curious about data — I'd love to connect.