Comprehensive Marketing Campaign Data Analysis Services

Comprehensive Marketing Campaign Data Analysis ServicesComprehensive Marketing Campaign Data Analysis Services

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

Pablo Gonzalez

• May 11

Marketing Summary Summarise data from marketing campaigns:

orders, opportunities and campaigns

number of customers

revenue vs forecasted

trendlines, filters and date sliders

multiple pages

Data Visualization Data Analysis Data Engineering Microsoft Power BI

Tobechukwu Samuel

• May 10

Dog Breed Classification System

🔗 GitHub Repository

🔗 Live Demo

Built a deep learning computer vision application capable of classifying 120 dog breeds from uploaded images.

Implemented transfer learning using ResNet and EfficientNet architectures with PyTorch and Torchvision.

Improved model performance from ~3% CNN baseline accuracy to 78.97% ensemble accuracy through optimization and fine-tuning.

Applied advanced deep learning techniques including label smoothing, gradual unfreezing, weight decay, learning rate scheduling, and Test Time Augmentation (TTA).

Deployed a production-ready Streamlit application with real-time image inference and probability predictions.

Machine Learning Engineering Data Analysis Streamlit Python PyTorch AI Engineer

Emman Ermitaño

pro

• May 10

This is interesting! Which dog is the easiest to classify?

Sajibur Rahman

• May 9

Email Marketing SaaS Landing Page

UI Design Framer Figma

Madob Acharjya

• May 10

Nice work!

Yasir Basheer

• May 8

O - A :Predictive Demand & Trend Dashboard A B2B-focused piece that looks like a high-end trading terminal. The Experience: A stunning "Bento-grid" dashboard that predicts which products will trend in the next 7 days by scraping social media trends and correlating them with current inventory. The AI Tech: Sentiment Analysis: Processing social media feeds. Forecasting: Using time-series models to predict stock-outs before they happen.