Dana V.

Data Science Program. A five month full-time training course in collaboration with leading tech companies, which qualifies talented STEM BSc/MSc graduates as professional Data Scientists. Main focus is hands-on experience and skill set in Machine Learning, Deep Learning, Computer Vision, NLP and more, through research, self-led learning, and teamwork.

Certificate course. Final projects: Airplane crash analysis – Python implemented Data exploration, Visualization, NLP analysis, Unsupervised Learning
(Clustering) and Dimensionality Reduction techniques- PCA, K-Means, DBSCAN

BSc. Banking and Finance. Merit-based scholarship; Second Class Honors

BSc. Economics. Double degree program of the HSE with the University of London International programme.

A five week Applied DS training as a part of the ITC program. Worked with the analytics and product departments Predicted the optimal schedule date by forecasting the length of a payment transfer from client to vendor Participated in EDA pipeline development.

Data Mining project on Instagram – Command-line application written in Python that scrapes public Instagram information about users, posts, hashtags, location and stores them into a database.
Pneumonia X-ray classification – Python implemented CV project. Chest X-Rays image exploration, data preprocessing, application of multiple machine learning algorithms (Logistic Reg, Random Forest, CNN Model), model interpretability (LIME).
Tweet sentiment analysis – Python implemented NLP project. EDA, Data Preprocessing, Word Cloud visualization, model fine tuning, project deployment. Libraries used: sklearn, NLTK

Performed ongoing analysis of budgets and expenses for regional departments. Generated financial statements and reports for donors. Provided advice and guidance on budget related issues.