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valDallalba/README.md

πŸ‘‹ Hello, I'm Valentin !

I'm a Data analyst with strong experience in Python, data modeling and analytical workflows.
I build data-driven solutions to explore, model and interpret complex datasets across various domains.

I hold a PhD in Science, during which I developed numerous methodologies for data analysis, 3D and temporal interpolation, uncertainty estimation, and geostatistical approaches. I published several scientific papers and presented my work at international conferences.

Since then, I have worked in a private engineering company, where I continue to develop data-driven solutions and client-oriented approaches, while strengthening my project management skills.

πŸ”§ Core skills

  • Programming & Data: Python (Pandas, NumPy, SciPy), SQL
  • Data analysis: exploratory analysis, time series, statistical modeling, ML
  • Data processing: data cleaning, pipelines, reproducible workflows
  • Visualization: Dashboard creation, Streamlit, Matplotlib, Seaborn, Plotly, Tableau
  • Tools: Git, Jupyter, Linux

🎯 Interests

  • Data analytics & decision support
  • Applied data science
  • Quantitative analysis in various sectors (finance, energy, consulting, tech)

πŸ“Š Selected Projects - Val Dallalba

⏱️ Time Series Analysis & Modeling

Analyzed and modeled time series to detect trends and uncertainties.
Skills: Python, statsmodels, visualization
Impact: Identified patterns and future scenarios from real or simulated data.

🌍 Geospatial & Hydro-Environmental Modeling

Analyzed and modeled spatial data to understand geographic structures and relationships.
Skills: Python, GeoPandas, geostatistics
Impact: Built spatial models and estimated continuous variables using geostatistical methods.

πŸ§ͺ Glacial & Basal Rock Estimation

Applied advanced geostatistical methods to estimate glacial volumes and rock structures.
Skills: Multipoint simulation, Python, Jupyter
Impact: Created realistic 3D models and extracted geological insights from heterogeneous data.

πŸ” Environmental Data Validation

Performed quality control and anomaly detection on piezometer datasets, automating data workflows.
Skills: Python, data cleaning, time series analysis
Impact: Improved reliability and quality of field-collected data.

πŸ”οΈ Physical Modeling & Risk Estimation

Simulated travel times of rockfalls in complex topography.
Skills: Python, numerical methods, fast marching algorithm
Impact: Developed robust physical models for risk assessment and hazard evaluation.

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πŸ“« Contact and information

Popular repositories Loading

  1. Tsanfleuron_geostatistical_baserock_estimation_paper Tsanfleuron_geostatistical_baserock_estimation_paper Public

    Glacial volume estimation using MPS for the Tsanfleuron glacier

    Jupyter Notebook

  2. Rockfall_Travel_Time_Fast_Marching_Method Rockfall_Travel_Time_Fast_Marching_Method Public

    Jupyter Notebook

  3. HydroPiezo_return_analysis HydroPiezo_return_analysis Public

    Jupyter Notebook

  4. Tunnel_karstic_inflow_estimation Tunnel_karstic_inflow_estimation Public

    Jupyter Notebook

  5. valDallalba valDallalba Public