ANDREI ZHOLUD, Ph.D. Data Scientist
adcg2a@r.postjobfree.com github.com/andyakrn
678-***-**** linkedin.com/in/andrei-zholud
andyakrn.github.io
Summary
Data scientist with a background in experimental physics, data mining, and analysis. Proven track record of working with statistical methods to build predictive models using machine learning. Driven by working in diverse teams of dedicated technical professionals who value communication and working together to accomplish a common goal. Skills
Languages: Python, SQL, C/C++, LabVIEW
Libraries: Pandas, scikit-learn, OpenCV, TensorFlow/Keras, Spark, SpaCy, Plotly, XGBoost, UMAP Tools: Git/GitHub, Jupyter, Mathematica, AWS, Colab Algorithms/Method:Regression, clustering, decision trees, random forest, PCA, time series, neural networks, natural language processing
Concepts/Approaches:Experimental design, machine learning, Bayesian statistics, design thinking, statistical programming, big data Recent Projects
Sentiment analysis of customers’ reviews GitHub
● Applied natural language analysis to customers’ reviews to identify product rating
● The model predicts sentiment of a review with more than 70% accuracy based only on text
● Tech: Python, Pandas, XGBoost, SpaCy, TensorFlow/Keras, Plotly Unsupervised machine learning to cluster customers GitHub
● Developed a clustering model for customers data with vehicles insurance policies to identify common attributes
● Tech: Python, Pandas, DBSCAN, PCA, MCA, UMAP
Supervised machine learning to predict used vehicle prices GitHub
● Build a model to predict prices of used cars using data about used vehicles from Craigslist
● The model trained on 0.5 million craigslist posts and predicts price with less than $100 error
● Tech: Python, Pandas, XGBoost
Experience
Emory University Atlanta, GA
Research Specialist Lead 2017 - 2019
Effect of quantum fluctuation on magnetization dynamic Publication Research quantum fluctuation of magnetization dynamics is important for development of new generation high-density magnetic memory.
● Design and run experiments, and collect data.
● Based on experimental data, built mathematical models, and performed computer simulation. Emory University Atlanta, GA
Research Assistant 2013 - 2017
Emory University Atlanta, GA
Teaching Assistant 2012 -2017
Education
THINKFUL October 2019 - February 2020
Data Science Immersion
Emory University
PhD., Experimental Physics 2011 - 2017
National Academy of Sciences, Minsk, Belarus
MSc, Physics 2009 - 2010
Belarusian State University, Minsk, Belarus
BSc, Physics 2004 - 2009