JULIE VOVCHENKO
Data Science Data Analysis Business Intelligence
Highly skilled and efficient Data Scientist, adept at collecting and analyzing large datasets, developing and interpreting forecasting models, including deep learning and time series analysis. Possessing extensive analytical skills, attention to detail, creative thinking and a significant ability to work in team environments.
addz3p@r.postjobfree.com
linkedin.com/in/julievovchenko
github.com/juliebelova
SKILLS
Python SQL Machine Learning Deep Learning Scala AWS API GitHub Statistical Data Modeling Natural Language Processing Data Wrangling Data Analysis Web Scraping Data Visualization Seaborn Tableau MS Excel EXPERIENCE
GENERAL ASSEMBLY
2019-2020
DATA SCIENCE IMMERSIVE
- Participated in full-time immersive course, completing independent and group projects, covering a wide range of Data Science topics.
- Performed collection, cleaning and analysis of data, built supervised and unsupervised models and interpreted evaluation metrics.
- Successfully delivered complex projects, including (i) Predicting airline departure delays using Neural Network and Random Forest Classifiers; (ii) Predicting neighborhood affluence using Yelp pricing data; (iii) Web APIs and Natural Language Processing Classification; and (iv) Predicting housing prices with Linear Regression.
DUFF AND PHELPS
2007-2012
PROJECT MANAGER
- Designed, developed and implemented a global Human Resources Intranet Web Portal and provided its on-site support and maintenance.
- Prepared PowerPoint presentations and wrote executive summaries for senior management.
- Managed various IT and non-IT related projects, including Web Portal development. UDL LABORATORIES
2006 - 2007
PROJECT MANAGER
- In working with business and IT, managed implementation of an Internet-based system into laboratory infrastructure.
- Through collaboration with firm’s compliance team, conducted system analysis to ensure its alignment with the New York State Department of Health. LINK OF TIMES
FOUNDATION
2004 - 2006
PROJECT MANAGER
- Coordinated repatriation of a major cultural artifact between the Harvard University and local Russian authorities.
- Managed logistics of the international relocation project of the Faberge Easter Egg Collection acquired from the Forbes family for over $100 million.
- Directed production, distribution and marketing of the book “Faberge: Treasures of Imperial Russia”, including regular and leather editions.
EDUCATION
GENERAL ASSEMBLY
DATA SCIENCE
IMMERSIVE
2020
- Worked extensively with Python, covering key Data Science packages, including NumPy, Pandas, Scikit-Learn, Statsmodels, Scala and Spark, among others.
- Performed comprehensive work with Machine Learning and Deep Learning techniques.
- Created queries for PostgreSQL databases.
- Conducted Exploratory Data Analysis through Data Visualization using Matplotlib, Seaborn, and Tableau.
BROOKLYN COLLEGE
CUNY
BACHELOR OF SCIENCE – DOUBLE MAJOR
(1) Computer and Information Science
(2) Management, Marketing and Finance