01101001 101101 t4ngo data sql python 01101001 101101 t4ngo data sql python 01101001 101101 t4ngo data sql python

python pandas postgres fastapi react python pandas postgres fastapi react python pandas postgres fastapi react

SELECT value FROM signals WHERE intent='learn' SELECT value FROM signals WHERE intent='learn' SELECT value FROM signals WHERE intent='learn'

01001100 01001001 01000001 01001100 01001001 01000001 01001100 01001001 01000001

etl pipeline bronze silver gold etl pipeline bronze silver gold etl pipeline bronze silver gold

powerbi dax model relationship measure powerbi dax model relationship measure powerbi dax model relationship measure

github public repos build ship iterate github public repos build ship iterate github public repos build ship iterate

nackademin data engineering analytics ai nackademin data engineering analytics ai nackademin data engineering analytics ai

curl api ingest transform expose curl api ingest transform expose curl api ingest transform expose

while true; do improve; done while true; do improve; done while true; do improve; done

schema index query optimize validate schema index query optimize validate schema index query optimize validate

matrix mode active terminal online matrix mode active terminal online matrix mode active terminal online

Welcome to:

Christofer Lindholm's repro.

Data analytics, engineering, and AI-oriented problem solving with SQL, Python, and Power BI.

christofer@portfolio:~ $ cat about.md

14 public repos indexed

about.md

by Christofer Lindholm

With experience from several industries, I have chosen to redirect my focus toward Data Analytics, where I combine analytical thinking and problem solving to create real improvements. I like challenging existing routines and finding new, smarter solutions.

I am currently studying Data Engineering at Nackademin, with a practical focus on SQL, Python, Power BI, analytics, and data workflows. My goal is to build things that make information easier to trust, understand, and use.

My previous roles have given me a strong foundation in leadership, customer needs, education, operations, and structured problem solving. I bring that with me into data work: listen first, understand the real problem, then build a practical solution.

focus

›Data should be useful, not just collected.
›AI should support people and decisions.
›Simple workflows beat impressive noise.
›Learning is part of the work.

current

Base: Stockholm, SE
Training: Data Engineering
School: Nackademin
LIA: Dec 2026 - Apr 2027