I help business teams turn complex data into predictive models, dashboards, and insights that support smarter decisions, quickly and reliably.
Worked for 3+ years as an in-house data scientist at Scopely (publisher of games like Stumble Guys, Monopoly Go, Marvel Strike Force) and Tripledot Studios (Woodoku), where I delivered predictive models (LTV, churn, bidding), user segmentation, and data storytelling to inform product and marketing strategy.
Skilled in Python, SQL, and cloud analytics platforms like Tableau and Looker. Available weekdays with efficient turnaround and clear communication.
Data Science
Python
SQL
Data Visualization
Google Sheets
Tableau
Looker
Visual Basic
pandas
Microsoft Excel
Analytics
PySpark
dbt
Streamlit
Raul G.
Esplugues de Llobregat, Spain
$30/hr
5.0
2 jobs
Need to collect, organize, and deliver reliable data?
I build production-ready backend systems that automate the entire data lifecycle—from data collection and validation to PostgreSQL databases, ETL pipelines, APIs, and workflow automation.
Instead of delivering isolated scripts, I design complete systems that are reliable, maintainable, and built to grow with your business. Whether you're creating an internal platform, integrating third-party APIs, or processing large volumes of data, my goal is to build infrastructure that continues delivering value long after deployment.
My work focuses on three areas:
Backend Engineering
• FastAPI applications
• REST APIs
• Backend services
• Internal tools
Data Engineering
• ETL pipelines
• PostgreSQL databases
• Data validation & processing
• Data migration
• Data architecture
Automation & Data Collection
• Workflow automation
• API integrations
• Custom web scraping
• Browser automation
• Large-scale data extraction
Technology
Python • FastAPI • PostgreSQL • SQLAlchemy • Docker • Playwright • BeautifulSoup • Selenium • Pandas • Git • Linux
I believe good software isn't measured by how quickly it's written, but by how reliable it is six months later. That's why I focus on clean architecture, maintainable code, and solutions designed for long-term use.
If you're looking for an engineer who can build reliable backend systems and data infrastructure—not just scripts—I'd be happy to discuss your project.
Python
Data Extraction
ETL
Web Scraping
Beautiful Soup
API Integration
Data Processing
Data Engineering
FastAPI
PostgreSQL
REST API
SQL
Docker
Database Design
Data Migration
SQLAlchemy
Linux
Git
pandas
Raha K.
Madrid, Spain
$18/hr
4.9
65 jobs
With over six years of experience across academia and industry, I help businesses, researchers, and finance teams turn complex or messy data into reliable datasets, predictive models, dashboards, and actionable insights.
I’m Top Rated on Upwork with a 100% Job Success Score across 50 contracts.
I can support projects involving:
• Data cleaning, extraction, matching, and validation
• Machine learning, classification, and predictive analytics
• Financial analysis, forecasting, and risk modelling
• Statistical analysis using Python, R, Stata, and SPSS
• Excel and Power BI dashboards and automated reporting
• NLP, text classification, and qualitative content analysis
• Econometrics, causal inference, and academic research
Recent work includes credit-risk prediction, credit-cohort ROI modelling with gradient boosting, financial time-series forecasting, customer segmentation, an 84-specification insolvency analysis, NLP and thematic coding, Stata regression projects, DSGE modelling, and economic-policy research.
I work mainly with Python, pandas, NumPy, scikit-learn, R, Stata, SQL, Excel, and Power BI. I also use SPSS, Dynare, MATLAB, and LaTeX when appropriate.
I can handle the full analytical workflow: reviewing the available data, cleaning and connecting different sources, selecting the right methodology, developing and validating models, creating clear visualisations, and explaining the results in practical language.
My deliverables typically include organised datasets, clean and reproducible code, documented assumptions, validation checks, dashboards or reports, and a concise summary of the main findings.
I communicate regularly, identify data limitations early, and focus on solutions that are accurate, practical, and easy to maintain.
Send me your data or project requirements, and I’ll suggest the most effective approach.
Data Model
Data Analysis
Machine Learning
Python
R
Statistics
Stata
Microsoft Excel
Data Visualization
Data Analytics
Python Numpy FastAI
Economics
Econometrics
Economic Analysis
Santi H.
Madrid, Spain
$30/hr
5.0
2 jobs
I deliver end-to-end analytics, from messy multi-source data to clear decisions and measurable impact. I am an expert in R, Python, SAS, and Power BI; comfortable solving complex problems in data science, big data, forecasting, integration, and advanced analysis. My work blends statistical rigor with pragmatic engineering and clear storytelling so stakeholders understand the why and the what, and teams can operate solutions confidently after delivery.
Data foundations matter; SQL, ELT, and ETL are the first step to bring disparate sources into clean structure and reliable governance. Once the data is in order, the real value begins: time series forecasting, predictive modeling, segmentation and classification, anomaly detection, and experiment-driven insights; all validated with robust procedures and monitored over time to keep performance stable. I surface results through intuitive Power BI experiences with effective data modeling, DAX, R or Python when needed, secure access, and narratives that make insights obvious and actionable.
I also focus on adoption and communication. Beyond the analytics and dashboards, I produce professional tutorials and product videos with clear explanations, consistent visuals, and voiceover; helping clients train teams, shorten onboarding, and sell the value of their data products more effectively. The goal is not just a model or a report; the goal is usage, outcomes, and repeatable decision making.
I am young, highly motivated, and I learn every day. Outside client work I am developing a blockchain and AI project; I stay hands-on with modern tools and practices; I am proactive by default and I enjoy hard problems. Continuous study and experimentation ensure every engagement benefits from current, battle-tested techniques.
For my main client, b2b-aero, I am the sole data scientist and I lead all business intelligence, data, and statistics initiatives. I own architecture and modeling; I design forecasting and advanced analytics; I build and evolve dashboards; I establish data quality processes; and I translate business goals into production-ready solutions. The role requires autonomy, clear communication, and the ability to partner with leadership to turn ideas into outcomes.
This skill set is industry-agnostic and applies to supply chain, finance, retail, manufacturing, healthcare, marketing analytics, and more. Whether the need is a forecasting system to reduce stockouts; a propensity model to improve conversion; a unified data mart to align teams; an automated data capture pipeline to enrich internal sources; or an executive KPI dashboard with drill-downs and narrative summaries; the approach is consistent: rigorous methods, pragmatic engineering, and design that makes insights simple to use.
Engagements range from rapid audits to fixed-scope builds and ongoing partnerships. Communication is proactive; timelines are realistic; success is measured by business results: faster decisions, automated processes, lower costs, and better visibility. If you want a partner who connects statistics with real products, combining R, Python, SAS, SQL, and Power BI into secure, scalable, and visually compelling solutions, let’s talk.
Data Science
Data Analysis
Machine Learning
Python
Web Scraping
Microsoft Power BI
RStudio
SAS
Data Engineering
SQL
PostgreSQL
Microsoft Power BI Development
Predictive Model
NLP Tokenization
BERT
Carlos P.
Granada, Spain
$3/hr
5.0
5 jobs
Data scientist specialized in sports. Data projects, AI, data analysis, prediction and presentation.
Data Analysis
Artificial Intelligence
Analytical Presentation
Arnau S.
Barcelona, Spain
$40/hr
5.0
5 jobs
Many companies already have data. The real challenge is turning that data into better business decisions.
That is where I help:
I design decision systems that combine data science, forecasting, mathematical optimization, artificial intelligence and business automation to solve real operational and strategic problems. Every project starts with understanding how decisions are made inside the business before selecting the right analytical or AI-based solution.
Whether the objective is improving demand planning, optimizing inventory, automating repetitive processes, reducing financial risk or building AI-powered workflows, my focus is always the same: delivering practical solutions that create measurable business value.
𝗪𝗵𝗮𝘁 𝗜 𝗰𝗮𝗻 𝗵𝗲𝗹𝗽 𝘆𝗼𝘂 𝘄𝗶𝘁𝗵
Demand Forecasting & Predictive Analytics
• Sales forecasting
• Multi-horizon demand forecasting
• Inventory planning
• Time series modelling
• Scenario analysis
Supply Chain & Operations Optimization
• Inventory optimization
• Production planning
• Resource allocation
• Process optimization
• Mathematical optimization models
Pricing & Financial Analytics
• Pricing optimization
• Revenue analytics
• Credit risk modelling
• Financial forecasting
• Decision support models
AI Agents & Business Automation
• AI Agents
• Claude API
• OpenAI API
• LLM-powered workflows
• Process automation
• Intelligent business assistants
• Workflow automation
Business Intelligence & Decision Support
• KPI dashboards
• Executive reporting
• Interactive analytics
• Automated reporting
• Business intelligence platforms
𝗦𝗲𝗹𝗲𝗰𝘁𝗲𝗱 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀
- Designed a multi-horizon demand forecasting system for a growing e-commerce business to improve purchasing and inventory planning.
- Developed a credit risk prediction model supporting consumer lending decisions within the financial sector.
- Built a business intelligence platform that automated KPI reporting, customer monitoring and operational analytics.
- Designed AI-powered workflows that automate business processes using Large Language Models and modern automation platforms.
- Developed analytical and optimization models supporting production planning and operational decision-making in manufacturing environments.
𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀
Python • SQL • PySpark • Microsoft Fabric • Azure • Databricks • Power BI • Anaplan • Machine Learning • Deep Learning • Operations Research • Mathematical Optimization • Forecasting • GitHub Actions • Docker • n8n • Claude API • OpenAI API • AI Agents • Data Pipelines
𝗛𝗼𝘄 𝗜 𝘄𝗼𝗿𝗸
1. Understand the business problem before writing a single line of code.
2. Design the simplest solution capable of solving the problem effectively.
3. Build scalable systems that integrate naturally into existing business processes.
4. Deliver measurable business impact through better planning, automation and decision-making.
I enjoy working closely with clients, challenging assumptions, exploring alternatives and translating complex analytical problems into practical business solutions. If you're looking for someone who combines strong analytical skills, mathematical thinking, AI expertise and a genuine focus on business value, I'd be happy to discuss your project.
Data Science
Machine Learning
Python
R
Artificial Intelligence
Predictive Analytics
Mathematical Modeling
Mathematical Optimization
Automation
Forecasting
Business Intelligence
AI Consulting
Data Visualization
SQL
Microsoft Power BI
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