Working across SQL, Python, Excel, Tableau and Power BI — from cleaning messy source tables to shipping dashboards people actually use.

-- what I actually do, most days
SELECT skill, years_practiced
FROM basem.toolkit
WHERE skill IN ('SQL', 'Python', 'Excel', 'Tableau', 'Power BI')
ORDER BY impact DESC;

-- 5 rows returned 

# cleaning + shaping the data
import pandas as pd

df = pd.read_csv('raw_sales.csv')
df = df.dropna().drop_duplicates()
df['revenue'] = df.price * df.qty

# ready for the dashboard 

' quick pivot before it goes to SQL
=SUMIFS(Sales[Revenue],
  Sales[Region], "Cairo",
  Sales[Month], "Aug")

=VLOOKUP(A2, Products!A:D, 3, FALSE)
=IFERROR(…, "check source")