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
Acoustic Event DSP & Live Spectrogram Engine 📡
Real-time audio signal processing pipeline with live spectrogram waterfall displays and feature extraction. Built with Python & NumPy.
• Short-Time Fourier Transform (STFT) & Mel-scale filterbank processing
• Real-time waterfall spectrum analysis with dynamic gain & noise filtering
• High-throughput feature extraction pipeline for bioacoustic event classification
GitHub: https://github.com/h0tp-ftw
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
Related posts
Just wrapped up MONOLITH Pro — a 48s hardware concept film & interactive web configurator built in Blender.
Focused heavily on tactile 6061-T6 aluminum shaders, amber dot-matrix glow, and a refractive X-ray cutaway at 0:21 before pulling straight into the live web configurator. Sound on 🔊
looks like a real product launch
End-to-end retail analytics pipeline that turns raw, messy CSV exports into business decisions, built in Python and SQL and runnable with one command.
What it does:
Cleans and validates 6 relational tables, fixes 585 data-quality issues and logs every action
Loads a SQLite warehouse with keys, constraints and window-function SQL
Customer analytics: RFM segmentation, cohort retention, CAC / LTV by channel, product Pareto, market-basket analysis
Churn prediction model validated on future data (ROC-AUC 0.71, no data leakage)
6-month revenue forecast, best of 3 models by backtest (4.2% MAPE)
Auto-generated Excel report (live formulas, native charts) and an interactive Streamlit dashboard
18 automated tests
Hello Contra community! 👋
I'm Emmanuel, an aspiring Data Analyst passionate about turning raw data into meaningful insights.
I'm currently building my skills in:
Excel and Power BI for data visualization and reporting.
SQL for data querying and analysis.
Python (Pandas, Matplotlib and Scikit-learn) for data cleaning, analysis and machine learning.
I'm using practical projects to strengthen my skills and explore how data can help businesses make better decisions.
Looking forward to connecting, learning and collaborating with other professionals here!
