Need to turn your data into powerful business insights? I'm Arnau Andrews, a Data Scientist dedicated to helping you make smarter decisions. I specialize in statistical analysis, machine learning, and data visualization, transforming raw data into actionable strategies that drive business success. My focus includes enhancing business growth, improving marketing and sales KPIs, and understanding seasonal trends. Why Hire Me? - Insightful Analysis: I uncover patterns and trends to boost product and service performance, driving business growth and enhancing marketing and sales KPIs. - Machine Learning Expertise: I design and implement models to optimize operations, predict trends, and improve customer experiences. - Data Management: I build and maintain efficient data systems for business intelligence and strategic decision-making. - Compelling Visualizations: I create impactful visualizations and dashboards using PowerBI, making complex data easily understandable for stakeholders. - Technical Proficiency: Skilled in Python, SQL, R, and Azure, I deliver actionable insights that impact your bottom line. Experience Data Engineer Consultant SDG Group, Remote | 01/2024 - Present - Managed 1,000+ tables, 200 pipelines, and 400 dataflows using Azure Data Factory for efficient ETL processes. - Developed dashboards and managed databases with PowerBI, DAX, and SQL. Data Scientist Treatwell, Remote | 01/2023 - 01/2024 - Processed and analyzed 2M records with 50+ variables using Python, ensuring data quality through rigorous checks. - Reduced salon cancellations by 7% and improved churn prediction accuracy by 300% using advanced machine learning techniques. Marketing Insights Analyst Damm | 02/2022 - 07/2022 - Analyzed market trends in the EMEA beverage industry, contributing to a 14.2% growth in export sales. Market Data Analyst Ingesco | 09/2018 - 07/2020 - Expanded the international customer database by 86% and achieved a 12% growth in international sales through data-driven recommendations. Skills - Big Data & Machine Learning: Python, R, SQL, PowerBI, Azure, ETL - Data Science: Data mining, visualization, statistical modeling, machine learning - Advanced Analytics: A/B testing, time series analysis, hypothesis testing, NLP - Data Visualization: PowerBI, Tableau Education - Master’s Degree in Data Science, University of Barcelona | 2022 - 2023 - Data Science & ML Bootcamp, Ubiqum Code Academy | 2022 - 2023 - Degree in International Business & Marketing, Pompeu Fabra University | 2018 - 2022

Arnold Andrews

Need to turn your data into powerful business insights? I'm Arnau Andrews, a Data Scientist dedicated to helping you make smarter decisions. I specialize in statistical analysis, machine learning, and data visualization, transforming raw data into actionable strategies that drive business success. My focus includes enhancing business growth, improving marketing and sales KPIs, and understanding seasonal trends. Why Hire Me? - Insightful Analysis: I uncover patterns and trends to boost product and service performance, driving business growth and enhancing marketing and sales KPIs. - Machine Learning Expertise: I design and implement models to optimize operations, predict trends, and improve customer experiences. - Data Management: I build and maintain efficient data systems for business intelligence and strategic decision-making. - Compelling Visualizations: I create impactful visualizations and dashboards using PowerBI, making complex data easily understandable for stakeholders. - Technical Proficiency: Skilled in Python, SQL, R, and Azure, I deliver actionable insights that impact your bottom line. Experience Data Engineer Consultant SDG Group, Remote | 01/2024 - Present - Managed 1,000+ tables, 200 pipelines, and 400 dataflows using Azure Data Factory for efficient ETL processes. - Developed dashboards and managed databases with PowerBI, DAX, and SQL. Data Scientist Treatwell, Remote | 01/2023 - 01/2024 - Processed and analyzed 2M records with 50+ variables using Python, ensuring data quality through rigorous checks. - Reduced salon cancellations by 7% and improved churn prediction accuracy by 300% using advanced machine learning techniques. Marketing Insights Analyst Damm | 02/2022 - 07/2022 - Analyzed market trends in the EMEA beverage industry, contributing to a 14.2% growth in export sales. Market Data Analyst Ingesco | 09/2018 - 07/2020 - Expanded the international customer database by 86% and achieved a 12% growth in international sales through data-driven recommendations. Skills - Big Data & Machine Learning: Python, R, SQL, PowerBI, Azure, ETL - Data Science: Data mining, visualization, statistical modeling, machine learning - Advanced Analytics: A/B testing, time series analysis, hypothesis testing, NLP - Data Visualization: PowerBI, Tableau Education - Master’s Degree in Data Science, University of Barcelona | 2022 - 2023 - Data Science & ML Bootcamp, Ubiqum Code Academy | 2022 - 2023 - Degree in International Business & Marketing, Pompeu Fabra University | 2018 - 2022

Available to hire

Need to turn your data into powerful business insights?

I’m Arnau Andrews, a Data Scientist dedicated to helping you make smarter decisions. I specialize in statistical analysis, machine learning, and data visualization, transforming raw data into actionable strategies that drive business success. My focus includes enhancing business growth, improving marketing and sales KPIs, and understanding seasonal trends.

Why Hire Me?

  • Insightful Analysis: I uncover patterns and trends to boost product and service performance, driving business growth and enhancing marketing and sales KPIs.
  • Machine Learning Expertise: I design and implement models to optimize operations, predict trends, and improve customer experiences.
  • Data Management: I build and maintain efficient data systems for business intelligence and strategic decision-making.
  • Compelling Visualizations: I create impactful visualizations and dashboards using PowerBI, making complex data easily understandable for stakeholders.
  • Technical Proficiency: Skilled in Python, SQL, R, and Azure, I deliver actionable insights that impact your bottom line.

Experience

Data Engineer Consultant
SDG Group, Remote | 01/2024 - Present

  • Managed 1,000+ tables, 200 pipelines, and 400 dataflows using Azure Data Factory for efficient ETL processes.
  • Developed dashboards and managed databases with PowerBI, DAX, and SQL.

Data Scientist
Treatwell, Remote | 01/2023 - 01/2024

  • Processed and analyzed 2M records with 50+ variables using Python, ensuring data quality through rigorous checks.
  • Reduced salon cancellations by 7% and improved churn prediction accuracy by 300% using advanced machine learning techniques.

Marketing Insights Analyst
Damm | 02/2022 - 07/2022

  • Analyzed market trends in the EMEA beverage industry, contributing to a 14.2% growth in export sales.

Market Data Analyst
Ingesco | 09/2018 - 07/2020

  • Expanded the international customer database by 86% and achieved a 12% growth in international sales through data-driven recommendations.

Skills

  • Big Data & Machine Learning: Python, R, SQL, PowerBI, Azure, ETL
  • Data Science: Data mining, visualization, statistical modeling, machine learning
  • Advanced Analytics: A/B testing, time series analysis, hypothesis testing, NLP
  • Data Visualization: PowerBI, Tableau

Education

  • Master’s Degree in Data Science, University of Barcelona | 2022 - 2023
  • Data Science & ML Bootcamp, Ubiqum Code Academy | 2022 - 2023
  • Degree in International Business & Marketing, Pompeu Fabra University | 2018 - 2022
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Skills

Da
Data Science
Da
Data Visualization
Python
R
R
SQ
SQL

Experience Level

Data Science
Expert
Data Visualization
Expert
Python
Expert
R
Expert
SQL
Expert

Language

English
Fluent
Spanish; Castilian
Fluent
Catalan; Valencian
Fluent
Italian
Fluent

Education

Add your educational history here.

Qualifications

Add your qualifications or awards here.

Industry Experience

Professional Services, Software & Internet, Media & Entertainment
    uniE613 Investigation of customer buying patterns for Treatwell
    See full project at: https://www.twine.net/signin Valuable insights were gained regarding customer behavior, including the relationship between items purchased and amount spent, online vs. in-store purchasing preferences, regional spending variations, and age differences. The analysis utilized the following steps and tools: Python: Used for preprocessing, feature selection, feature engineering, and regression analysis. Preprocessing: Cleaned and prepared data for analysis. Feature Selection: Identified the most relevant variables for modeling. Feature Engineering: Created new features to improve model performance. Data Visualization: Applied visual tools to represent data trends and insights clearly. These methods uncovered actionable insights to refine and enhance sales strategies.