Engineering Machine

Chrisa Mitta

+30-698******* ***********@******.*** linkedin.com/in/chrisa-mitta

Strong analytical individual and problem solver with a Master’s degree in Data Science. Seeking to leverage on machine learning models development and explore new prediction algorithms. Coming with collaborative and communication skills, as well as programming skills and ability to manipulate data. Education

University of Glasgow Glasgow, United Kingdom

MSc. in Data Science September 2019–September 2020 University of Thessaly Volos, Greece

BSc. in Computer, Telecommunications and Networks Engineering September 2011–September 2019 Experience

Internship at the Creative Technologies Learning Lab Volos, Greece Department of Electrical and Computer Engineering, University of Thessaly Summer 2017

• Designed and Developed an agile software development game in Unity platform Projects

MSc Thesis Spotify Podcast TREC content understanding and text summarization of open-domain podcast transcripts.

• Fine-tune T5, BERT and PEGASUS Transformers

• Data Manipulation, Preprocessing, Visualization and Augmentation MSc Project Image Classification (Deep Learning)

• Fine-tune Pytorch pre-trained models (squeezenet, vgg)

• Convolutional Neural Networks

MSc Project Feature Engineering and Classification of Electroencephalography data (Machine Learning)

• Feature Selection filtering methods (chi-square, Anova)

• Feature Selection wrapper methods (Recursive Feature Elimination)

• Feature Selection embedded methods (Lasso regularization, Principal Component Analysis) MSc Project Text Classification on Reddit Threads (Natural Language Processing and Machine Learning)

• ML libraries (NLTK, Gensim, Spacy)

• Implementation of classifier features.

MSc Project Recommender System on Goodreads dataset using interactions and ratings. (Machine Learning

• Use of Spotlight interactions

• Rating-prediction recommendation algorithm.

Skills

Languages:Python, Java, C, SQL, R

Techincal Skills: Machine Learning, Predictive Modeling, Deep Learning, Natural Language Processing, Data Visualization

Libraries: Pandas, NumPy, Matplotlib, Scikit-learn, Tensorflow, Pytorch Languages

English Proficient

Greek Proficient

German Intermediate

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