My Portfolio

I am Julia, a physics PhD student moving to Consulting and Data Science

I am a PhD student at the Centre for Cold Matter at Imperial College London. I am knowledgeable, friendly, dedicated, and really into data science and analytics. One day, I realised that investigation of the data from my experiment is one of the most pleasant parts of the job. I was curious about the potential that datasets have and wanted to learn more. I went on to study several techniques in machine and deep learning. In my free time, I used publicly available datasets to gain insights and try out different machine learning concepts, which are presented in this portfolio.

About me

Great academic record

BSc in Physics at King's College London graduated with 1st Class Honours
MRes at Imperial College London awarded a Distinction
PhD in the Centre for Cold Matter at Imperial College London

Exciting PhD

My research concentrates on cooling molecules for parity violation measurement. Video link shows a short presentation about my PhD project

Video

Data Science projects

Writing parliamentary speeches uning LSTM NN

In this project I use texts of UK's Parliament speeches delivered between 1979 and 2018 to predict a gender of the speaker using classification methods and train a generative neural network to write its own speech

Imbalanced datasets

Imbalanced datasets are present in many data science problems. In this post I describe how to make accurate predictions using datasets where the ratio of classes is 1:100 and lower.

Data science case study: should I develop an indie game?

Many datasets can be used to help formulate an answer to a business problem. In this article I use a dataset with features of about 10 000 Steam games to answer a question "I am a game developer. Should I create an indie game?"

Journal club

This is a collection of interesting ML/AI reaserch articles. A new article every month

Contact details

Email

j.bieniewska16@imperial.ac.uk