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sralter/README.md

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Hello, my name is Samuel Alter. Welcome to my GitHub!

My top-five facts:

  1. 👨‍🔬 Proud science nerd who spent years thinking about how geology🪨, biology🌳, and water💧 interact
  2. 🔄 Pivoted career to focus on what underlies all scientific inquiry: data!
  3. 🧪 I employ a scientific- and data-focused approach to solve problems using data analytics📊
  4. 🐣 ➡ 🦅 I love working on the full insights lifecycle, from research to analysis to modeling to reporting
  5. 🌐 My focus is on solving geospatial problems using a mix of open source tools and applications

Languages and Tools:

Python  SQL  Tableau  QGIS  ArcGISPro  PostGIS  Git 

Some projects that I've done:

  • Sustainability Insights
    • Python-based project centered on gleaning insights from mining emissions datasets sourced from Climate TRACE
      • Python tools used: Numpy, Pandas, DuckDB, and Matplotlib
    • A Tableau Public Story was created to show which companies are most responsible for the world's mining emissions
    • I wrote an Executive Summary which explains my workflow and conclusions
  • ClassiFIRE
    • Python- and QGIS-based wildfire prediction model
      • Python tools used: Numpy, Pandas, Matplotlib, Seaborn, Scikit-Learn, Tensorflow
    • Presentation of my findings
    • Executive Summary of my work
  • Happy Customers
    • Python-based project designed to model customer happiness based on the results of a survey
      • Python tools used: Numpy, Pandas, Matplotlib, Seaborn, Scikit-Learn, XGBoost, LightGBM, LazyPredict, Stacking and Voting models

More about me:

As a data professional, I employ the latest data techniques to uncover insights. I am skilled in:

  • Research: With my science mindset, I know how to bring in external data in to enrich the analysis
  • Reporting: My years as a researcher and consultant have taught me how to communicate effectively
  • Data Manipulation: Need help preparing the data? I'll utilize Pandas, DuckDB, SQL queries, and Polars
  • Visualization: Want some figures? I can use Python (Matplotlib, Seaborn), Tableau, R (ggplot2), or Excel
  • Business Intelligence Tools: Did I mention Tableau? Let's talk about how I can build dashboards for you
  • Python for Data Analysis and Machine Learning: Scikit-learn, Tensorflow, and Jupyter are my home
  • Predictive Modeling: Using Hyperopt and Optuna, I have tuned countless algorithms on varied datasets
  • Deep Learning: How about neural networks? I have used Tensorflow to analyze satellite imagery
  • GIS: Want to know "where"? I use my geospatial skills in Esri's ArcGIS Pro, QGIS, and PostGIS to solve it
  • Statistics: Want to know "why"? I use Python's Statsmodels to figure that out
  • Natural Language Processing: I am skilled in NLP and can help you perform text or sentiment analysis

You can find me on LinkedIn here:

LinkedIn Badge

Pinned Loading

  1. term_deposit_marketing term_deposit_marketing Public

    Predicting which customers will most likely purchase a type of financial product, achieving a time savings of over 93%.

    Jupyter Notebook 1

  2. sustainability_insights sustainability_insights Public

    A data analysis project that derived insights from an emissions dataset sourced from Climate TRACE.

    Jupyter Notebook 1

  3. happy_customers happy_customers Public

    Predicting whether a customer is happy based on the results from a survey.

    Jupyter Notebook 1

  4. classifire classifire Public

    Wildfire Prediction Model: Samuel Alter's BrainStation 2023 Data Science Capstone Project

    Jupyter Notebook 1