I’m Prabin, a statistical programmer turning clinical data into reproducible workflows, reliable reporting, and smarter automation.
01 / WORK
Oncology visualizations in R, followed by the reusable systems and automation that support reliable data work.
01 / TREATMENT JOURNEYS
Show each subject’s treatment journey on a shared timeline. Disease-stage colors and milestone symbols bring treatment duration, response starts, and ongoing treatment into one view.
The original post explores response duration and disease-stage views, with ggplot2 and Plotly.
Read the swimmer plot post ↗
02 / RESPONSE AT A GLANCE
A subject-by-subject view of percentage change from baseline, with ordered bars and response categories to make differences across the study easy to compare.
Read the oncology plots post ↗
03 / RESPONSE OVER TIME
Follow individual tumor-size trajectories across visits. Longitudinal lines reveal patterns of response and progression that a single summary cannot show.
Read the oncology plots post ↗Original figures from my LinkedIn posts. These examples include dummy data for demonstration; they are not clinical study results. Select a figure to view it at full size.
MACHINE LEARNING / EXPLORATION
An experiment using Isolation Forest and K-Means on dummy crypto transaction data, exploring how anomaly scores can enrich clustering. The post also considers possible clinical data-quality applications.
Read the experiment ↗R / DATA STORYTELLING
A sample-data experiment combining multiple visualizations with tidyplots and patchwork, exploring how R can turn separate charts into a cohesive data story.
Read the dashboard post ↗MORE WORK / PROGRAMMING & AUTOMATION
Internal R packages that standardize dataset creation and reporting across CRO engagements, supporting consistent, reproducible deliverables.
Modular R and Python workflows for ingestion, transformation, and validation, with Redis-based processing for high-volume data.
Contributed to approximately 30% greater workflow efficiency.
Interactive dashboards and reporting tools that help study teams review clinical data, monitor quality, and investigate findings.
A multi-stage n8n and OpenAI API workflow for content generation, formatting, and distribution—reducing turnaround from hours to minutes per cycle.
Generated scripts, gTTS audio, and MoviePy video assembly combined into an automated production workflow.
02 / EXPERIENCE
Working across statistical programming, biostatistics, and data management teams in regulated clinical environments.
Numeric Mind Pvt. Ltd.
Embedded with global contract research organization (CRO) teams through the Functional Service Provider model.
InfoDevelopers Pvt. Ltd.
Built Django backend components, PostgreSQL integrations, and REST APIs for workflow applications.
OneCover Pvt. Ltd.
Monitored network traffic with Wireshark and Splunk and supported security controls, audits, and awareness activities.
03 / ABOUT & TOOLKIT
I bring a software development foundation to clinical data work, combining statistical programming with practical automation. Based in Kathmandu, I collaborate with global teams to make complex workflows easier to trust and maintain.
R · Python · SQL · Base SAS
PROC SQL · SAS macros
PostgreSQL · Redis · REST APIs
Git · Django · ETL pipelines
tidyverse · data.table · Shiny
ggplot2 · Plotly · Power BI
Purbanchal University, Nepal
2017–2021
Hult Prize OnCampus Winner, 2019
APrIGF Operations Manager Volunteer, 2021
04 / GET IN TOUCH
For clinical data, statistical programming,
and automation conversations.