30.04.2026 aktualisiert

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100 % verfügbar

Freelance Data Scientist & I AI Consultant

Völs, Österreich
Nur Remote
Master in Business Administration, MSc. Data Science
Völs, Österreich
Nur Remote
Master in Business Administration, MSc. Data Science

Profilanlagen

cv_tuta_mario_2024.pdf

Über mich

Hi, I’m Mario, a freelance Data Analyst & AI Consultant and Founder of Stoic Analytics, helping medium-sized enterprises unlock business growth through data-driven insights and AI-powered solutions.

Skills

Google AdwordsData AnalysisBusiness MarketingBig DataSocial Media MarketingGoogle AnalyticsPythonSQLWooCommerceWordPressApache Spark
Hi, I’m Mario, a freelance Data Scientist & AI Consultant and Founder of Stoic Analytics, helping medium-sized enterprises unlock business growth through data-driven insights and AI-powered solutions.

With over a decade of experience, I specialize in:

* Turning raw data into actionable insights for smarter decisions with Python, SQL
* Building intuitive visualizations with Seaborn, Bokeh, Power BI and Tableau.
* Implementing Big Data solutions with Apache Kafka or Apache Spark.
* Optimizing digital marketing with SEO, SEA, and email strategies.
* Enhancing eCommerce performance with Shopify or WooCommerce
* Guiding projects with Analytics Project Management with frameworks like CRISP-DM, SCRUM, and Kanban and tools like ClickUp, Confluence & JIRA, Asana, Trello, etc.

As a lecturer at MCI and FH Kufstein, I’m dedicated to empowering the next generation of data leaders with real-world expertise.

Let’s collaborate to turn your data into a strategic advantage.

Erfahrung

Berufserfahrungmehr als 10 Jahre
Freelancer seit2017

Sprachen

DeutschMutterspracheEnglischverhandlungssicher

Projekthistorie

Image Vision - Validating Honey Bee Counting with Machine Learning and Video Analysis

Stoic Analytics

Internet und Informationstechnologie

< 10 Mitarbeiter

This project explores the use of machine learning and video analysis to monitor honey bee activity and detect Varroa mite infestations. By developing a cost-effective, user-friendly video-based monitoring system, it aims to improve colony health assessments and reduce manual labor in beekeeping.

Key Points:
  • Developed a video-based system for bee activity tracking and mite detection with different cameras including a Rasberry-PI
  • Compared machine learning models to manual counting methods for accuracy.
  • Tested using personal beehives in Tyrol, Austria.
  • Aims to standardize digital monitoring techniques in beekeeping.
  • Focused on practical, data-driven solutions for colony health management.

Data Engineering for Shopify

https://www.dumped.eu

Automobil und Fahrzeugbau

< 10 Mitarbeiter

This project involved importing and preparing data from multiple sources for integration with Shopify, including web scraping competitor data to support analysis.
Key Points:
  • Conducted batch import from TXT and CSV data sources.
  • Cleaned and prepared data for Shopify integration.
  • Utilized Python and Beautiful Soup for web scraping competitor data.

Data Analyst for RFM Analysis and Cluster Analysis of eCommerce Customer Data

https://www.aqipa.com

Konsumgüter und Handel

50-250 Mitarbeiter

This project involved conducting an RFM (Recency, Frequency, Monetary) analysis, leveraging SAP ERP R/3 and SAP Hybris eCommerce systems. The analysis was aimed at identifying key customer segments to improve targeted marketing strategies and boost retention rates.

Key Points:
  • Conducted RFM analysis using SAP ERP R/3 and SAP Hybris data.
  • Extracted, cleansed, and modeled data using Python.
  • Identified and visualized key customer segments for targeted marketing.
  • Delivered insights that improved retention and sales performance.

Super Yacht - Gloss Level Analysis and Coating Prediction

n.a. due to singed NDA

Sonstiges

10-50 Mitarbeiter

This project analyzed factors affecting gloss levels on yacht surfaces, focusing on environmental exposure and measurement conditions. Predictive models were developed to improve maintenance strategies.

Key Points:
  • Analyzed gloss levels across different environmental factors.
  • Integrated weather and measurement data, handling missing values.
  • Conducted statistical analysis using ANOVA tests.
  • Tested Random Forest models and explored LSTM models for better time-series forecasting.

Analytics Project Management

https://www.swarovski.com

Konsumgüter und Handel

>10.000 Mitarbeiter

This project focused on managing the migration of a hybrid multi-cloud data lake from Amazon AWS to Google Cloud Platform, ensuring efficient data management strategies.

Key Points:
  • Managed migration of a hybrid multi-cloud data lake as a Project Manager.
  • Utilized Terraform for infrastructure as code.
  • Implemented multi-cloud Kubernetes environment with Rancher.
  • Applied CRISP-DM framework for project management.
  • Ensured a systematic and effective migration process.

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