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alqahysa/README.md

Hi, I'm Sarah AlQahtani

Data Scientist working across machine learning, NLP and data management. Graduate of the Misk Data Science Immersive program.

Skills

  • Languages: Python, R, SQL, Scala (learning)
  • ML & AI: scikit-learn, Keras/TensorFlow, spaCy, AutoML, tidyverse
  • Focus areas: predictive modeling, NLP, exploratory data analysis, data management (CDMP)

Featured projects

Project What it does Stack
Conceptual Modeling for User Stories Capstone: NER models that extract conceptual models from software user stories Python, spaCy, NLTK
Parkinson's Disease Analysis End-to-end ML on voice data: regression, MARS, random forest, GBMs, AutoML R
Parkinson's Disease Prediction Predicting disease severity (UPDRS) from voice measurements Python
MoA Neural Network Kaggle Mechanisms of Action multi-label prediction Keras, TensorFlow
Kickstarter Projects Analysis What makes a crowdfunding campaign succeed? EDA in Python and R Python, R
CDMP Exam Engine Interactive practice exam for the Certified Data Management Professional HTML, JS

Connect

  • LinkedIn: add link

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  1. cdmp-exam-engine cdmp-exam-engine Public

    Interactive CDMP (Certified Data Management Professional) practice exam engine - single-page web app.

    HTML

  2. DS_Capstone_Project DS_Capstone_Project Public

    Misk DSI capstone: NLP and named-entity recognition (spaCy) to extract conceptual models from software user stories.

    Jupyter Notebook

  3. DS_ML_Parkinsons_Disease_Prediction_Python DS_ML_Parkinsons_Disease_Prediction_Python Public

    Predicting Parkinson's disease severity (UPDRS) from voice measurements using machine learning in Python.

    Jupyter Notebook

  4. DS_Research_Kickstarters_Projects_Analysis DS_Research_Kickstarters_Projects_Analysis Public

    Exploratory data analysis of Kickstarter projects in Python: what makes a crowdfunding campaign succeed? (R version in a companion repo)

    Jupyter Notebook

  5. MoA---NN-Model MoA---NN-Model Public

    Kaggle Mechanisms of Action (MoA) prediction: multi-label neural network with Keras/TensorFlow and k-fold cross-validation.

    Jupyter Notebook

  6. Parkinsons_Disease_Analysis Parkinsons_Disease_Analysis Public

    End-to-end ML analysis of Parkinson's disease voice data in R: feature engineering, regression, MARS, random forest, GBMs and AutoML.Parkinsons Disease Analysis

    HTML