Freelancers using Python in AlcobendasFreelancers using Python in Alcobendas
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Berckan Guerrero's avatar
Berckan Guerrero
maxMadrid, Spain
Founders' Tech Partner | Full-Stack AI Engineer | 14 yrs exp
$25k+
Earned
8x
Hired
5.0
Rating
20
Followers
Founders' Tech Partner | Full-Stack AI Engineer | 14 yrs exp
Cover image for ¿Dónde Están?: Full-stack memorial platform
¿Dónde Están?: Full-stack memorial platform aggregating nearly 9,000 source records from Chile's military dictatorship across 3 sources. Python async ETL pipeline with fuzzy matching achieves 99% deduplication accuracy, resolving them into 3,216 unique victim profiles. AI-powered image restoration using Real-ESRGAN and GFPGAN recovers detail from low-resolution archival photographs. Supabase PostgreSQL backend with 63 migrations and Row Level Security on every table. Full-text search with Spanish stemming and unaccent handling. SHA-256 change detection for incremental sync. Nuxt 3, Vue 3, TypeScript. The first platform in Latin America to unify dictatorship victim records with AI-restored historical photographs.
1
806
Cover image for NurvAI: Website Redesign & Development
NurvAI: Website Redesign & Development
1
8
Cover image for Pulso: Prospect Intelligence Dashboard
Pulso: Prospect Intelligence Dashboard
1
7
Cover image for Raven: AI Knowledge Management Platform
Raven: AI Knowledge Management Platform
1
4
Python(1)
Kai Relaunch Dept's avatar
Kai Relaunch Dept
Madrid, Spain
AI Automation & Launch Recovery Specialist
New to Contra
AI Automation & Launch Recovery Specialist
Cover image for Proofline Keeper — Transaction Firewall for AI Agents
Proofline Keeper — Transaction Firewall for AI Agents
0
0
Cover image for A schema rename passed every unit test. It still broke a rev...
A schema rename passed every unit test. It still broke a revenue dashboard. The query changed from order_total to gross_amount; the schema was valid, but downstream models still expected the old field. The fix isn't another linter. Before merge, ask four questions: Which assets depend on this field? Is the change additive, rename, type change, or removal? Can we generate compatibility SQL and dbt YAML before touching production? Is there a decision receipt reviewers can reproduce? I built a bounded public replay of that workflow. Start with the CRITICAL case: it blocks a lossy decimal-to-integer change when an ML consumer sits downstream, then exposes the lineage, affected queries, compatibility artifacts, and deterministic run ID. Demo: https://schema-shield.vercel.app (https://schema-shield.vercel.app)Source/evidence: https://github.com/ceodaradigu/schema-shield What schema operation should the next fixture cover? AI-assisted analysis, reviewed before publication by RELAUNCH DEPT.
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38
Cover image for Proofline — Evidence Gate for AI Agents
Proofline — Evidence Gate for AI Agents
0
0
Cover image for SchemaShield — Evidence-First Schema Change Preflight
SchemaShield — Evidence-First Schema Change Preflight
0
0
Python(1)
Iria Iglesias's avatar
Iria Iglesias
Spain
Design Engineer · Interactive Narrative & Design experiences
Design Engineer · Interactive Narrative & Design experiences
Cover image for Antes de maio (Before May)
Antes de maio (Before May)
0
8
Cover image for Design and Development of FUGA
Design and Development of FUGA
0
5
Cover image for Koide — Wedding Microsites with a Galician Accent
Koide — Wedding Microsites with a Galician Accent
0
5
Cover image for Development of Mosic: Finance App for Musicians
Development of Mosic: Finance App for Musicians
0
5
Python(1)
Javier Aquique's avatar
Javier Aquique
Alcobendas, Spain
Transforming Data for the Baking Industry
Transforming Data for the Baking Industry
Cover image for Machine Learning Algorithm - Autoencoder-Based Anomaly Detection
Machine Learning Algorithm - Autoencoder-Based Anomaly Detection
0
13
Cover image for DealFinder AI
DealFinder AI
0
15
Cover image for Ticket request system with Google Spreasheets and Looker Studio
Ticket request system with Google Spreasheets and Looker Studio
0
18
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Python(1)
HAMZA EL QADIRI's avatar
HAMZA EL QADIRI
Madrid, Spain
Data Engineering & AI,
New to Contra
Data Engineering & AI,
Cover image for Spotify Loader Benchmark The Spotify Loader Benchmark is
Spotify Loader Benchmark The Spotify Loader Benchmark is a comprehensive framework for evaluating different data loading strategies on the Spotify dataset, providing insights into the performance of various loading mechanisms. By comparing sequential, vectorized, multithreaded, raw SQL, Celery-based, and Flink-based loaders, this project helps developers optimize their data loading processes. With its robust architecture and flexible design, the Spotify Loader Benchmark is an essential tool for anyone working with large datasets.
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54
Cover image for The AI-Powered Modern Data Platform
The AI-Powered Modern Data Platform for E-Commerce is a cutting-edge solution that bridges the gap between complex data infrastructure and business users. This project combines a robust modern data stack with advanced AI capabilities, enabling natural language analytics over an enterprise-grade E-Commerce Data Warehouse. By leveraging Artificial Intelligence, Large Language Models, and Retrieval-Augmented Generation (RAG), this platform empowers business users to ask questions in natural language and receive actionable insights.
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16
Cover image for Sales & Customer Dashboard: Unlocking
Sales & Customer Dashboard: Unlocking Insights with Tableau Analyzing sales performance and customer behavior is crucial for businesses to make informed decisions. The Sales & Customer Dashboard is designed to provide stakeholders with a comprehensive overview of sales metrics, trends, and customer insights. By leveraging Tableau's data visualization capabilities, this dashboard empowers sales managers, executives, and marketing teams to identify areas of improvement, optimize strategies, and drive growth.
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45
Cover image for Azure Data Pipeline for E-commerce
Azure Data Pipeline for E-commerce Analytics : E-commerce teams drown in raw sales CSVs and scattered APIs—while revenue leaks hide in untracked product returns and regional stock-outs. I built a cloud-native, end-to-end analytics pipeline that turns chaotic transactional data into sub-minute Power BI insights, letting merchandisers act on trends before they become costly mistakes.
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48
Python(1)
Pablo Verdugo's avatar
Pablo Verdugo
Spain
Software Engineer - Automation Specialist
Software Engineer - Automation Specialist
Cover image for From Freelancer to Startup: Journey in Web Scraping & Automation
From Freelancer to Startup: Journey in Web Scraping & Automation
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16
Cover image for Automating Real Estate Scheduling with WhatsApp
Automating Real Estate Scheduling with WhatsApp
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23
Cover image for Chrome Extension saves hundreds of hours of data entry work
Chrome Extension saves hundreds of hours of data entry work
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18
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Python(1)