Geospatial & Data Science Consultant | R Developer | Environmental Data Enthusiast

I'm currently based in Bengaluru, India, working remotely with the University of Liverpool. My work revolves around using data to tell meaningful stories about the environment—especially air quality and public health. I thrive on simplifying complex workflows and automating repetitive tasks, all while keeping code clean, reusable, and user-friendly.

I built mmaqshiny and pollucheck, open-source R Shiny apps designed for analyzing and visualizing air quality data from both official instruments and open data sources in India. I'm also a certified Tidyverse instructor, and actively contribute as a peer reviewer for the Journal of Open Source Software and rOpenSci.

As a community builder, I co-founded AsiaR and R-Ladies Bangalore, and was part of the global organizing team for useR! 2021. I’ve also volunteered as a consultant with the Asian Nature Conservation Foundation—combining my passion for tech with my love for wildlife.

🔍 More About Me:

• 💻 Languages: R (advanced), Python & SQL (intermediate), C# & HTML/CSS (beginner)
• 📦 Tools I enjoy: Shiny, QGIS, Google Earth Engine, GitHub, Markdown
• 🐍 I code to automate the boring stuff and explore the exciting stuff
• 🌍 I'm currently diving deep into environmental data science, especially around air pollution & public health
• 🧠 Always learning—whether it's a new programming language or a new spoken one
• 🔤 Languages I speak: English, Hindi, Kannada, Tulu, Tamil, Telugu
• 🐾 I care deeply about reproducible research, spatial data, and wildlife conservation
• 🦉 Slender lorises, rstats, and well-designed slides with emojis make me happy
• ⚡ Fun fact: I’m a lazy coder—if I do it twice, it gets automated

📚 Check out my Google Scholar publications
💬 Pronouns: she/her