Atousa Davoodian
Milan,MI
Summary
Engineering Management Master's student at Politecnico di Torino with a strong background in business analysis. Leveraged data-driven insights to optimize project timelines, identify risks, and enhance resource allocation. Skilled in data visualization, process improvement, and decision-making support using tools like Python, SQL, Power BI, and Excel.
Work History
Data Analyst
CLIK Challenge – Connection Lab & Innovation
08.2024 - 02.2025
- Analyzed and visualized building emissions metadata using Python libraries such as Pandas, NumPy, and Matplotlib.
- Conducted data pre-processing and cleaning to ensure accurate modeling and insights.
Business Analyst
Shavadoon
03.2021 - 08.2023
- Leveraged data-driven insights to streamline project timelines, proactively identify risks of delays, and enhance efficiency in resource planning and allocation.
- Developed data mining algorithms to identify and classify patterns in data.
Education
M.Eng - Engineering Management
01.2025
Winner of the Polito Challenge by Firm, developing a deep-tech system for CO2 capture with AI-driven predictions to optimize consumption and recommend ideal ratios.
Exploring how Artificial Intelligence can help early-stage startups reduce operational costs and improve efficiency through smart automation and data-driven decision-making.
Business Analysis -
12.2024
Emphasizes practical, real-world applications through tools such as Jupyter, SQL, Power BI, and data analysis libraries like Pandas and Matplotlib to derive actionable insights.
Machine Learning for Business -
01-2024
Skills
Technical Skills
- Database Management
- Python Programming
- SQL
- Data Visualization (Plotly, Matplotlib, Power BI)
Business & Productivity Tools
- Microsoft Excel (Advanced)
- Jupyter Notebooks
- Power BI
- Notion
- Trello
Languages
English
Italian
Timeline
Data Analyst - CLIK Challenge – Connection Lab & Innovation
08.2024 - 02.2025
Business Analyst - Shavadoon
03.2021 - 08.2023
University of California - Machine Learning for Business,
Politecnico Di Torino - M.Eng, Engineering Management
Master Thesis - ,
IBM - Business Analysis,
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