04/29/2026 updated


100 % available
Senior Data & AI Solutions Consultant | Ph.D. in Mathematics
Noicattaro, Italy
Only remote
Ph.D. in MathematicsAbout me
Data & AI Solution Consultant with 6+ years of experience across fintech, marketing, and publishing. Expert in Python and cloud platforms, I specialize in building predictive models and end-to-end data pipelines. I transform unstructured data into strategic, high-impact solutions for your business.
AI AgentsGoogle BigQueryData WarehousingForecastingPython (Programming Language)Machine LearningPredictive AnalyticsSQL DatabasesSalesforce TableauWorkflowsGoogle CloudData ScienceGoogle Cloud Functions
Machine Learning and Predictive Analytics
Advanced expertise in building predictive models, time series forecasting frameworks, and ML algorithms for risk profiling and customer segmentation using Python and cloud platforms
Data Pipeline Engineering
Comprehensive experience in building scalable ETL pipelines, integrating heterogeneous data sources, and automating data workflows using Google Cloud Functions, BigQuery, and Looker Studio
Mathematical Optimization and Research
Deep expertise in mathematical optimization, combinatorics, algebra, and developing state-of-the-art algorithms for complex computational problems
Python Programming
Extensive experience in Python development for data science, machine learning, and automation across multiple industries
Cloud Infrastructure
Proficient in Google Cloud Platform, AWS, and cloud-based data processing and storage solutions
Data Visualization
Skilled in creating dashboards and visualizations using Looker, Tableau, PowerBI, and seaborn for strategic insights
Database Management
Experience with SQL databases, BigQuery, and data warehousing solutions for large-scale data operations
Statistical Analysis
Strong background in statistics, probability, and mathematical modeling for data-driven decision making
Advanced expertise in building predictive models, time series forecasting frameworks, and ML algorithms for risk profiling and customer segmentation using Python and cloud platforms
Data Pipeline Engineering
Comprehensive experience in building scalable ETL pipelines, integrating heterogeneous data sources, and automating data workflows using Google Cloud Functions, BigQuery, and Looker Studio
Mathematical Optimization and Research
Deep expertise in mathematical optimization, combinatorics, algebra, and developing state-of-the-art algorithms for complex computational problems
Python Programming
Extensive experience in Python development for data science, machine learning, and automation across multiple industries
Cloud Infrastructure
Proficient in Google Cloud Platform, AWS, and cloud-based data processing and storage solutions
Data Visualization
Skilled in creating dashboards and visualizations using Looker, Tableau, PowerBI, and seaborn for strategic insights
Database Management
Experience with SQL databases, BigQuery, and data warehousing solutions for large-scale data operations
Statistical Analysis
Strong background in statistics, probability, and mathematical modeling for data-driven decision making
Experience
Professional experience5 - 10 years
Freelancer since2025
Languages
GermanBasic knowledgeEnglishFluentItalianNative speakerSpanishGood
Project history
- Built first unified analytics and reporting pipeline by integrating 5 heterogeneous data sources (GA4, app analytics, Watuppa, Spreaker, Mailchimp) via APIs, with ingestion of tens of thousands of daily events through Google Cloud Functions into BigQuery to create a scalable data model.
- Designed a Looker Studio dashboard to monitor key KPIs: subscriber activity, subscription trends and churn, podcast and newsletter engagement, high-performing content, benchmarked daily and over long-term trends, replacing manual, fragmented reporting workflows.
- Enabled data-driven decisions for content strategy, promotional campaigns, and audience growth through centralized reporting and actionable insights.
- Built and automated a scalable Python ETL pipeline with Google Cloud Functions, consolidating 15+ data sources (including GA4) into BigQuery to fuel Looker Studio dashboards, saving 50+ hours/month and enabling strategic insights on revenue, seasonality, and course demand
- Automated survey response extraction via SurveySparrow API, replacing unstable Zapier workflows with a robust Google Cloud Function, achieving 100% data reliability, recovering 10% of previously lost inputs, and unlocking real-time analytics via BigQuery and Microsoft Graph API
- Designed a Python-based time series forecasting framework to predict weekly publication volumes, improving prediction accuracy by 25% over previous projection models, streamlining resource allocation for typesetting vendors and improving operational efficiency
- Built scalable data pipelines using BigQuery and Looker to monitor workflows across 400+ journals, reducing average publication time by 1.5% (3 days) despite a 40% YoY surge in submissions
- Presented data-driven insights to VPs and senior leadership, aligning technical findings with strategic priorities and influencing decision-making
- Mentored a data analyst intern, streamlining reporting workflows, while boosting team productivity and leadership skills