INITIALIZING
open to data analyst roles

Raw data in. Sharp questions. Decisions out.

I'm Rajay Ajay Jain — Data Analyst. I build the pipeline, write the query, and shape the story. The work isn't done until someone makes a better call because of it.

15+
tools & libraries
SQL
first language
ETL
to insight
console — analyst_profile.sql
SELECT role, focus, stack
FROM analysts
WHERE name = 'Rajay Ajay Jain';


01 / about

The person behind the pipeline.

I'm an entry-level Data Analyst based in Goa, India who believes the hardest part of analytics isn't the query — it's making sure the right person trusts the answer enough to act on it. I spend my time in that gap: cleaning inconsistent data, modelling it so it holds up under scrutiny, and shaping the output into something a non-technical stakeholder can read in under a minute.

My toolkit runs from SQL and Python for the heavy lifting, through Power BI or Tableau for the story, and into ETL pipelines and star-schema models that keep the analysis reproducible. I care about data storytelling as much as data engineering — a dashboard nobody opens is a failed project, no matter how clean the schema underneath it is.

problem-first thinking clear data storytelling pipeline reliability
02 / skills

Query results: capabilities.

Core languages run deep; the tooling around them runs wide.

CORE

TOOLS & LIBRARIES

MODELING & PRACTICES

03 / projects

Real projects, real metrics.

Selected projects from github.com/RajayJain, with headline numbers pulled straight from each README.

view all repos →
04 / journey

Learning, pipelined.

Each stage extracts a new skill, transforms it into practice, and loads it into real work.

EXTRACT · foundations

SQL & Excel as first languages

Started with spreadsheets and relational queries — learning to ask questions data could actually answer, and to distrust numbers without a clear source.

TRANSFORM · analysis

Python for real analysis

Moved into Pandas, NumPy and Matplotlib/Seaborn to clean messier datasets, automate repetitive reporting, and explore data before committing to a conclusion.

LOAD · storytelling

Power BI & dashboarding

Learned that a chart is a claim — built dashboards designed to be read correctly in ten seconds by someone who has never seen the underlying table.

ORCHESTRATE · pipelines

ETL, modeling & validation

Building Python/SQL ETL pipelines, star-schema models and validation checks — the layer that keeps analysis reproducible, not just correct once.

05 / validation

Verified credentials.

Rigorous coursework, end-to-end processing, and continuous upskilling.

06 / contact

Let's turn your data
into a decision.

Open to data analyst roles and collaborations. Reach out through any channel below.