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Achievement: Pull SharkAchievement: Starstruck

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Achievement: Pull SharkAchievement: Starstruck

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Dan-Boat/README.md

MasterHead

Hi 👋, I am Boateng Daniel (PhD)

A PostDoc | Scientific Software developer | Data engineer | Data Scientist (ML engineer)

Research: Climate-tectonics interactions ⛰️ | Empirical Statistical Climate information Downscaling 🌍| Climate Dynamics | Paleoclimate modeling with Isotope-enabled GCM🏔️ 🌍

dan-boat

dan-boat

  • 📝 I'm currently developing statistical downscaling model PyESD and pyClimat

  • 📈 I’m currently learning AI engineering, MLDevOps, Cloud engineering

  • 👯 I’m looking to collaborate on PyESD and pyClimat

  • 💬 Ask me about Python, Fortran, Bash, C, SQL

  • 📫 How to reach me dannboateng@gmail.com

  • ⚡ Fun fact I think I'm nice Guy who loves Science and Tech!

  • 📌 I am very passionate about learning new things just because I'm a fast learner..lol (well check my diverse background)

Connect with me:

dann_boat daniel-boateng-3892311b4 daniel.boateng.9655l ing_banasty

Languages and Tools:

c css3 git html5 javascript linux matlab mysql pandas postgresql python pytorch scikit_learn seaborn tensorflow

dan-boat

 dan-boat

dan-boat

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  1. PyESD PyESD Public

    Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of the package is to downscale any climate variables e.g. prec…

    Python 44 11

  2. pyClimat pyClimat Public

    This repository contains scripts for Python Module for Climate Data Analysis and Visualization, which is under development. The module performs many climate data analysis like correlation, signific…

    Python 16 3

  3. Data_science_projects Data_science_projects Public

    Consist of various machine learning and Al projects at the experimental stage. These scripts are adopted on higher level structure required for my package development. Therefore I call it no harm i…

    Jupyter Notebook 2 1

  4. predict_taxi_tip predict_taxi_tip Public

    Used machine learning models to predict the taxi gratuities in New York City. Data from NYC Taxi and Limousine Commission Data (NYC.gov)

    Jupyter Notebook