Freelancers using Python in MadridFreelancers using Python in Madrid
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Dilson Cassaro's avatar
Dilson Cassaro
Madrid, Spain
Data, QA & AI Evaluation Specialist
New to Contra
Data, QA & AI Evaluation Specialist
Cover image for Task Assignment Tool is a
Task Assignment Tool is a web-based application I built with Python and Streamlit to help team leads assign and manage tasks across multiple testers. The application was designed to address practical workload-management and task-allocation challenges in multi-user testing environments. Users can upload team rosters in CSV or Excel format, create and assign tasks based on language requirements, monitor tester availability and workload, and manage assignment conflicts when multiple users are working simultaneously. The tool also generates reports with actionable insights and supports real-time collaboration, making task allocation and workload distribution more transparent and structured. The project demonstrates practical experience in Python application development, workflow automation, data handling, workload management, and building tools designed around real operational problems. Tech stack: Python, Streamlit, GitHub.
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33
Cover image for E-commerce sales analysis using SQL
E-commerce sales analysis using SQL and Python to identify business trends and customer insights. The project combines SQL-based analysis with Python to explore sales performance, revenue trends, product performance, and customer-related patterns. I used SQL to query and aggregate the data and Python to further manipulate, analyze, and visualize the results. The analysis demonstrates practical experience in SQL querying, data manipulation, exploratory data analysis, data interpretation, and business-focused reporting.
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37
Cover image for Personal data analysis project exploring
Personal data analysis project exploring Airbnb listings in Madrid using Python and Pandas. The project focused on cleaning, validating, and exploring a real-world dataset to identify patterns in Airbnb listings, pricing, and location. I used Python and Pandas to prepare the data, handle inconsistencies, perform exploratory analysis, and extract meaningful insights from the dataset. The analysis included comparing average prices across Madrid neighborhoods and identifying geographic patterns in listing prices. The visualization shown here highlights the 10 most expensive neighborhoods for entire-home Airbnb listings based on average price. Skills demonstrated: Python, Pandas, data cleaning, exploratory data analysis, data interpretation, and data visualization. This project is part of my independent data analytics portfolio and demonstrates my ability to turn raw datasets into structured analysis and clear, actionable insights
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Cover image for E-commerce Sales Dashboard in Power
E-commerce Sales Dashboard in Power BI Interactive Power BI dashboard designed to analyze e-commerce sales performance. The dashboard presents key business metrics related to revenue, customers, and product performance through interactive visualizations. I built the dashboard to organize business data into clear KPIs and visual views that make it easier to monitor sales performance and identify relevant patterns. The project demonstrates practical experience in Power BI, data analysis, KPI reporting, dashboard design, and data visualization.
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30
Python(3)
Berckan Guerrero's avatar
Berckan Guerrero
proMadrid, Spain
Founders' Tech Partner | Full-Stack AI Engineer | 14 yrs exp
$50k+
Earned
9x
Hired
5.0
Rating
28
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.
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901
Cover image for AxiDerm: Clinical Decision Tools for Veterinary Dermatology
AxiDerm: Clinical Decision Tools for Veterinary Dermatology
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2
2
Cover image for NurvAI: Website Redesign & Development
NurvAI: Website Redesign & Development
3
19
Cover image for Pulso: Prospect Intelligence Dashboard
Pulso: Prospect Intelligence Dashboard
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16
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
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9
Cover image for ScenarioReceipt: Evidence-Grounded Product UI
ScenarioReceipt: Evidence-Grounded Product UI
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9
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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Cover image for Proofline — Evidence Gate for AI Agents
Proofline — Evidence Gate for AI Agents
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15
Python(1)
Beatriz Perez Fernandez's avatar
Beatriz Perez Fernandez
Madrid, Spain
Business & Marketing Expert for Custom AI Strategies
New to Contra
Business & Marketing Expert for Custom AI Strategies
Cover image for Commercial Operations Process Optimization
Commercial Operations Process Optimization
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0
Cover image for Audio Review | Voice QA Desk for AI Training
Audio Review | Voice QA Desk for AI Training
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1
Cover image for Benchmark | Certified Skills by Anthropic
Benchmark | Certified Skills by Anthropic
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1
Cover image for Brand-Aligned AI Voice & TTS System
Brand-Aligned AI Voice & TTS System
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0
Python(1)