Risma W. P.

My journey began in Geophysics, where I first discovered the power of working with data during internships at the Indonesian Agency for Meteorology, Climatology, and Geophysics (BMKG).

I worked with large geospatial and seismic datasets; processing, analysing, and visualising information to better understand natural hazards. From mapping landslide vulnerability zones with ArcGIS to interpreting earthquake wave patterns, these experiences sharpened my analytical skills and sparked my passion for data-driven problem solving.

Since then, I’ve built on that foundation with modern tools like Python, SQL, Tableau, and machine learning. Whether it’s exploring, cleaning, or modelling datasets, I enjoy combining technical skills with clear communication to create insights that drive meaningful impact.

Looking back, every step of my journey has been leading me towards what I enjoy most: uncovering patterns, solving problems, and building smart solutions with data science.

Projects & Case Studies

Here are some selected projects showcasing my work in data science, analytics, and visualisation.

Drive Smart, Maximise Profits: Data-Driven Insights to Boost NYC Taxi Company Revenue

Analysed NYC Taxi Trip data to identify profit-maximising strategies for companies and drivers, with insights on zones, peak times, and customer demand.

Daegu Deals: What's the Real Price of Home Apartment?

Built a machine learning model to predict apartment prices in Daegu using XGBoost with explainable AI (SHAP) integration.

Breaking Bottlenecks: Delivery Gameplan for Olist

Analysed Olist e-commerce dataset to uncover delivery delays, customer satisfaction drivers, and logistics bottlenecks. Built a machine learning model to mitigate delays and improve customer satisfaction.

Perspectives in Data

A collection of my thoughts, learnings, and stories around data science.

Seamless Data Magic: Query Your Database Directly into Pandas for Instant Insights with SQL and Python

Learn how to connect SQL databases directly into Pandas and streamline your workflow for faster, cleaner insights.

Streamlit vs. Gradio: Pythonista's Quest for First-Time Deployment

A side-by-side comparison of Streamlit and Gradio to help you choose the right tool for your first ML app deployment.

Certification

Here’s my most recent professional certification.

Certificate of Graduation

Purwadhika Digital Technology School

Programme: Digital Talent Incubator (Data Science & Machine Learning)
Issued: September 2025
Credential ID: 202502007873

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