Medina Bajramovic

Medina Bajramovic

As an enthusiastic Data Scientist pursuing a Master's in Statistics and Data Science at Ludwig-Maximilians-Universität München, I've harnessed my skills to develop a growth curve analysis program in R, predict diseases via deep learning, and dive into business analytics at BMW Group. When not crunching numbers, I'm tending to my houseplants or furthering my proficiency in R and Python. Passionate about translating complex data into actionable insights, I'm ready to tackle challenges, one dataset (and coffee) at a time.

Tags

Python Deep Learning Research Statistical Modeling Data Science Supervised Learning Statistical Inference R Statistical Analysis Scientific Writing Diagnostic Accuracy Studies Statistical Pitfalls in Biostatistics High Dimensional Data Analysis Regression for Correlated Data Epidemiological Methodology Preclinical and Clinical Studies Open Science Reproducible Workflows Transparency Biases Statistics Data Sharing Gaussian Process Bayesian Hypothes Testing Sensitivity Analysis Clinical Research Robustness Methodology Assumptions Study Outcomes Quantile Regression Risk Management Value at Risk Finance

#Python

#Deep Learning

#Research

#Statistical Modeling

#Data Science

#Supervised Learning

#Statistical Inference

#R

#Statistical Analysis

#Scientific Writing

#Diagnostic Accuracy Studies

#Statistical Pitfalls in Biostatistics

#High Dimensional Data Analysis

#Regression for Correlated Data

#Epidemiological Methodology

#Preclinical and Clinical Studies

#Open Science

#Reproducible Workflows

#Transparency

#Biases

#Statistics

#Data Sharing

#Gaussian Process

#Bayesian Hypothes Testing

#Sensitivity Analysis

#Clinical Research

#Robustness

#Methodology

#Assumptions

#Study Outcomes

#Quantile Regression

#Risk Management

#Value at Risk

#Finance