Vineet Kumar

Vineet Kumar

he/him/his

Transforming complex medical data into actionable insights, improving patient care with creativity!

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Hi 👋, I'm Vineet

A passionate Healthcare Data Enthusiast

coding

  • 🔭 I’m currently working on Diagnostic Analytics

  • ✨ I believe my most important skill is storytelling

  • 🌱 I’m currently learning LLMs, Gen AI

  • 👯 I’m looking to collaborate on projects in healthcare to improve patient outcomes

  • 🤝 I’m looking for help with teaching my machine learning models to diagnose my tea addiction! ☕🤖

  • ⚡ Fun fact I once built a machine learning model to predict the best ice cream flavors, and kids helped me test it by eating all the samples! 🍦🤖👶

About Me

A Healthcare Data Analyst (Statistical Sherlock!) with a flair for large language models. Right now, I’m diving into the wild world of prior authorization trends and their effects on prescription drug use and costs. Imagine me as a data detective, uncovering the secrets hidden in EHRs and administrative databases.

Previously, I worked magic with chemo-metrics and statistical process control, turning complex data into optimized product quality and efficiency. Armed with Python, Databricks, and Tableau, I create visualizations and models that even my tea-addicted machine learning buddy would applaud. Let’s innovate in healthcare together!

Key Languages and Libraries Used:

python databricks matplotlib seaborn pandas numpy scikit-learn tensorflow keras pytorch spacy plotly sql sql tableau

Key Data Analysis and Machine Learning Techniques Used:

CategoryTechniques
Data Analysis Techniques
  • Descriptive Statistics
  • Exploratory Data Analysis (EDA)
  • Hypothesis Testing
Machine Learning Techniques
  • Regression
    • Linear Regression
    • Logistic Regression
  • Classification
    • Decision Trees
    • Random Forest
    • Support Vector Machines (SVM)
    • K-Nearest Neighbors (KNN)
  • Clustering
    • K-Means
    • Hierarchical Clustering
Deep Learning Techniques
  • Artificial Neural Networks (ANN)
  • Convolutional Neural Networks (CNN)
  • Recurrent Neural Networks (RNN)
Natural Language Processing (NLP) Techniques
  • Text Preprocessing
  • Text Classification
    • Sentiment Analysis
Model Evaluation Techniques
  • Cross-Validation
  • Confusion Matrix
  • ROC Curve and AUC
  • Precision, Recall, and F1-Score
  • Mean Squared Error (MSE)

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