CV

Education

• M.Sc. in Data Science and Business Analytics, University of Amsterdam (2023-2024)
• B.Sc. in Economics, University of Warwick (2018-2021)
  • Global Sustainable Development and Economics, University of Warwick (2018-2019)
• Hungarian Matura, ELTE Apáczai Csere János Gyakorló Gimnázium és Kollégium (2012-2018)

Work experience

• Freelance Data scientist
  • Created python notebooks for the Researching Digital Media and Society course by Dr. P. (Maxigas) Dunajcsik
  • Developing RAG implementations for Premium Egeszsegpenztar to provide accurate care for members using local and secure AI implementation

• Finance Analyst, WW Ops FP&A Strategic Initiatives Amazon, Luxembourg (January 2023 - July 2023)

  • Developed centralized reporting for CAPEX spending at various granularities to keep track of budgets.
  • Regularly took Amazon internal AWS and ML courses, working on projects like time-series forecasting with LSTMs and NLPs.
  • Reworked financial data pipeline and categorization, aligning with different company segments.

• Finance Analyst, ATS Central FP&A Amazon, Luxembourg (May 2022 - July 2023)

  • Created a graph visualization tool for transportation network analysis using AWS Lambda and Dash Flask app.
  • Improved reporting ROI on €2 billion of CAPEX, automating analysis and data loading, and aligning methodologies across regions.
  • Expanded financial reporting to new geographies, enhancing data availability and granularity.

• Finance Intern Amazon, Luxembourg (November 2021 - May 2022)

  • Developed analysis logic for transportation cost calculation, deep diving into causes of large cost changes.
  • Created data pipelines and dashboards for cost review processes using AWS S3 and Quicksight.

• Creative Intern Brain Bar, Budapest (August 2020 - September 2020)

  • Delivered high-quality conference content during the COVID-19 crisis, scripting and briefing for online streams.
  • Liaised with sponsors, coordinated with camera crews, and developed community communications.

• Data Finance, Project Management Intern XL Catlin, London (June 2017 - July 2017)

  • Integrated financial systems post-merger, using Excel and SQL to resolve data discrepancies.
  • Collected and analyzed data for asset replacement recommendations.

• President of the Business Society Engame Academy, Budapest (September 2016 - June 2017)

  • Organized 22 events on economics and business topics, overseeing logistics and speaker coordination.

Skills

• Programming languages
  • Python
  • R
  • Stata
  • Julia
  • SQL
• Data Visualisation and Dashboarding
  • Amazon Quicksight
  • Tableau
  • Plotly and Plotly Dash
• Software development
  • Git
  • Docker
  • Kubernetes
• Cloud
  • AWS S3
  • AWS Sage Maker
  • GCS BigQuery
• Machine Learning
  • Optimisation (Gurobi, Pyomo, SciPy)
  • SVMs, Boosting, Bagging
  • Neural Nets (Pytorch/Tensorflow)
    • CNNs
    • Graph neural nets
  • Explainability methods
    • Interpretable methods and approximating models
    • Unboxing SHAP (developer), LIME, Gradient methods
    • Counterfactual explanations
• Econometrics
  • Causality (IV, Diff in Diff, RDD)
  • Time Series Analysis (VAR, SARIMA, GARCH)
• Network Analytics
  • Network visualisation
  • Network prediction and analytics