Hi, I’m Mila!
I'm a data science, data analytics and data visualisation enthusiast.
My job consists of analysing data and communicating results with a goal to deliver insights that drive innovation and growth. I am skilled in the following data analytics and data science domains: data pre-processing, application of statistical methods, text classification with Natural Language Processing (NLP), image classification using Convolutional Neural Networks (CNN), forecasting, model training and optimisation, data visualisation and results communication.
Projects
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Sentiment analysis: User app reviews
In this project, we use the powerful BERT model for sentiment analysis of app user reviews in German languange.
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Fraud Detection in Electricity and Gas Consumption
Using the client’s billing history, the aim is to detect and recognize clients involved in fraudulent activities.
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Bike rental prediction
Prediction of bike hourly rental count, based on the environmental and seasonal settings.
Research
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![Top panels: Probability (see color-bar) as a function of x- and y-positions for the COM of the end-phenyl-group in the a) p-6P, b) p-6P2F and c) p-6P4F molecule. Bottom panels: Probability (see color-bar) as a function of x- and y-positions of the en]()
Impact of Polarity on Anisotropic Diffusion of Conjugated Organic Molecules on the (101̅0) Zinc Oxide Surface
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Influence of partial fluorination on growth modes of organic molecules on amorphous silicon dioxide
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![Logarithm of translational diffusion coefficients, Dt, as a function of inverse temperature calculated for the P, p-2P, p-3P, p-4P and p-6P molecule.]()
Quantifying entropic barriers in single-molecule surface diffusion
