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Dana V.

Experience: 6 years

About Me

Highly educated and motivated Junior Data Scientist. Hands-on experience in Data Mining, Statistical Modeling (including Time Series), classic Data science and Machine Learning techniques. Participated in Computer Vision and NLP projects. Strong knowledge in Python and SQL. Possess extensive analytical skills both from academic institutions as well as from self-led learning. I Enjoy making data tell a story.



Israel Tech Challenge (ITC), Israel


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.


Technion Data Science Program, Israel


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


London School of Economics


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


National Research University Higher School of Economics (HSE)


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

Work and Experience


Data Science Internship

March | 2021 - July | 2021

Tipalti, Israel

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 Science Program

October | 2020 - March | 2021

Israel Tech Challenge (ITC), Israel

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


Budget and Planning Analyst

July | 2017 - July | 2019

Joint-JDC, Israel

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.

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Dana V.