Position: Machine Learning engineer
Category: Data Science
English level: fluent
Years of experience: 4

I was awarded a fully funded scholarship to study for a masters degree in Germany.
**ML engineer:
    -Digging deep into thousands of data records and perform data exploratory analysis
    -Research, prototype, design, implement and evaluate machine learning models for pdf parsing project
    -Perform text classification using BERT
    -Perform image classification located in the pdf documents using Detectron
    -Extract tabular data with the correct extraction order using OpenCV

**Deep learning research assistant:
Reality Gap quantification using Neural Networks and Bayesian inference
    -Doing bayesian modeling and inference: finding tractable approximation of posterior distribution by MGVI
    -Designing model architecture: creating supervised autoencoder
    -Creating the methodology to quantify the reality gap: using Mahalanobis metric as a distance measure
    -Generating synthetic images statistically by sampling from the distribution and by using GANs 

**Data science research assistant:
Ongoing research oriented projects mainly related with medical data such as:
    -Modeling the spread of covid using ODE (ordinary differential equations)
    -Analyzing and visualizing the data provided by different insurance companies

**Data Scientist:
-Create a machine learning model to predict customer churn based on historical data
-Build recommendation system for personalised mobile phone recommendations using web scrapping and ML techniques
-Customer lifetime value prediction

**Data Scientist:
-Developed a text summarization model to automatically generate summaries of large documents
-Use tools like Tensorboard to evaluate the models while being trained
My expectation is to be a part of an innovative team where we can work on ambitious projects by experimenting and learning new technologies while being able to effectively exploit our expertise.