Top-ranked Key Account Manager and Customer Success professional transitioning into Data Analytics. Over ten years of commercial experience delivering customer-centric solutions, now combining business acumen with technical data skills.
Recently completed Ironhack Data Analytics Bootcamp (Berlin) — mastering Python, SQL, Tableau, and Machine Learning fundamentals to transform raw data into actionable insights. Passionate about sports analytics, data storytelling, and creating impact through data-driven decisions.
Tools Used: Python (Pandas, NumPy, Scikit-learn), SQL, Tableau, Machine Learning
Objective: Analyze six seasons of Premier League data to identify team performance trends and build predictive models for match outcomes.
Tools: Python, Streamlit, Pandas, Scikit-learn
Built a content-based recommendation system using audio features and metadata from 170,000+ songs.
Tools: Tableau, SQL, Data Visualization
Created interactive BI dashboards analyzing driver performance, team strategies, and race outcomes across multiple seasons.
Tools: SQL, Database Management, Customer Analytics
Developed customer segmentation models using SQL queries to identify high-value customer groups and optimization opportunities.
I'm currently seeking Data Analyst, Business Intelligence, or Sports Analytics positions where I can apply my unique combination of commercial experience and technical data skills.
Location: Berlin, Germany
Phone: +49 155 6108 3771 | +44 7841 401 874
Email: astrid275@gmail.com
📄 Download My CV: CV_Astrid_Restu_Data_Analytics.pdf
Direct download link to my complete CV/Resume