Contra - A professional network for the jobs and skills of the future

Contra - A professional network for the jobs and skills of the futureI hardly see a Python or Data Engineer Job here; mostly, they are designers, and they are very go...

The network for creativity

Join 1.25M professional creatives like you

Connect with clients, get discovered, and run your business 100% commission-free

Creatives on Contra have earned over $150M and we are just getting started

Back to feedPost

ari ugw

• Jan 9

I hardly see a Python or Data Engineer Job here; mostly, they are designers, and they are very good, which makes me jealous because I am not a designer. I need a Data Engineer, Data Scraping, Data Analyst, or Python automation gig.

Arman Tamboli

• Mar 6

Sales dashboard for client

Business Analysis Data Analysis Financial Analysis Microsoft Excel

Geethasree Naguboina

pro

• 2d

Love the dark theme — the KPI cards at the top with Sales, Profit, AOV and Quantity give instant clarity before diving into charts. The region-wise breakdown alongside top products tells a really complete story. Great dashboard!

Ashish Kumar

• Mar 7

🚀 CryptoLens — AI-Powered Crypto Research Agent About the Project

CryptoLens is an AI research agent I built to turn hours of crypto YouTube analysis into a searchable, conversational knowledge base.

Instead of manually digging through hundreds of videos, users can simply ask a question in plain English. The system retrieves the most relevant insights from multiple creators, synthesizes a clear answer, and provides exact video, channel, and timestamp citations.

The goal: make crypto research fast, structured, and actionable.

ai AI Engineer Python AI Development

Geethasree Naguboina

pro

• Mar 6

Most spreadsheet problems are not Excel problems.

They’re structure problems.

I often see spreadsheets where:

• formulas reference half the sheet • headers change across tabs • logic is embedded inside long nested formulas • no one knows where the numbers actually come from

The result?

Small updates quietly break the entire model.

A simple structure solves most of this:

Raw Data → Processing → Output → Documentation

Raw data stays untouched. Processing handles the logic. Output shows only what decision-makers need. Documentation explains how metrics are calculated.

Clean structure reduces fragility and makes updates predictable.

Good spreadsheets aren't just about formulas. They’re about clear data flow and transparent logic.

Data Analysis exceldashboard businessinsights Data Visualization Microsoft Excel