Data, Applied
Differently.

I'm Sandip Subedi, an aspiring data analyst who turns raw, messy tables into clear findings — with Python, Pandas, and a habit of questioning the first answer a dataset gives me.

Self-built
data projects

DATA records
analyzed

Years Design
Learning

Email Sandip → See the projects

4 Projectsshipped solo

SANDIPsandipsubedi0

About me

CURRENTLY

Data Analysis,
AI/ML Trainee

Budhanilkantha,Bhangal-02 · Nepal
Jun 2026 — Present

PythonDataAnalysisMachineLearningGraphicDesign

Aspiring data analyst with a self-built portfolio of Python projects spanning exploratory data analysis, data cleaning, and visualization. Combines analytical skills with real experience in event leadership, project management, and graphic design.

Completed +2 Science with a Computer Science focus, and is now seeking a Data Analyst internship to apply and grow these skills in a real team setting — while independently building a personal AI assistant, NepJARVIS, on the side.

My journey, so far.

Not a straight line — a school in Kathmandu, a club nobody had run in five years, and a growing stack of Jupyter notebooks.

'17

@education

Where it started

Began Secondary Education (SEE) at Shree Jana Uddhar Secondary School — seven years that built the foundation for everything after.

'22

@leadership

Taking the lead

Started planning a school-wide science and technology carnival — the first in five years — with a 3-student core team. It would go on to draw 19–21 participating schools. Coordinated logistics, project development, and event execution, and partnered with Karkhana on technical components.

'24

@present

President, and a new chapter

Re-established the STEAM Club after the carnival and was appointed President. Started +2 Science (Computer Science focus) at Valley Public High School, and began freelancing in graphic design and WordPress development alongside coursework.

'25

@data

Learning to read data properly

Built out a run of independent analytics notebooks — Titanic survival patterns, HR attrition by department, and 14 years of BMW global sales data (~50,000 records) — each one taken from raw file to finished dashboard.

'26

@now

Still obsessed, still building

Currently designing an original survey on student career readiness in Nepal — scope to predictive model — and building a personal AI assistant, NepJARVIS. Looking for a Data Analyst internship to do this inside a real team.

Selected projects.

Four notebooks, four different problems — raw data taken all the way to a finished, readable story.

IN PROGRESS survey · Kathmandu

01 / @data

Student Career Readiness in Nepal

An original survey — not a Kaggle dataset — collecting anonymous responses from students across Kathmandu, studying whether Nepali students are building the skills and professional presence today's job market demands. Full pipeline planned: scope, exploration, cleaning, visualization, findings, and a predictive Career Readiness Score model, with RAG-based exploration also planned.

PythonPandasNumPySurvey Design

COMPLETE 2010 – 2024 · ~50,000 records

02 / @data

BMW Global Sales Analysis

Analyzed 14 years of BMW sales data (~50,000 records) across models, regions, pricing, and fuel types — producing a correlation heatmap, 12 distribution charts, and a final dashboard.

PythonPandasMatplotlibSeaborn

COMPLETE 1,470 employee records

03 / @data

HR Employee Attrition Analysis

Cleaned and analyzed 1,470 employee records, recalculating attrition by department size rather than raw counts — correcting a misleading initial finding.

PythonPandasMatplotlibSeaborn