Data Scientist (Junior)

Описание

Andr ei Muravev
765-702-7476 ***
adrey87@yahoo.com
*** https://github.com/AnMur
www .linkedin.com/in/andrei-muravev-382733219
P R O FIL E S T A T EM EN T
Data scientist with a background in classical music and pedagogy . I’m a person who can find answers to impossible
questions in big data, ML and AI. I perform extensive research beyond assigned topics to be able to explain solutions in
easy and acceptable ways for
the audience and stakeholders.
I have strong analytical, visualization and communication
skills, fast learner and hungry for improvements and success.

S K IL LS a n d T EC H NO LO GIE S

T echnologies:
Python | SQL | Tableau | AWS | Basic
HTM | Github | Spark |V isual Studio Code | OpenCV | Excel
Skills
: Data Cleaning | Supervised,Unsupervised and
Reinforcement ML | Predictive Modeling | Data Visualization |
Data Analysis | Web Scraping | NLP | Neural Net | Deep Learning | Time Series
Python libraries:
Pandas | NumPy | Matplotlib | Seaborn
| Scikit-learn | Natural Language Toolkit | Beautiful Soup |PIL
| Plotly | Keras | TensorFlow | GeoPandas

D ATA S C IE N CE P R O JE C TS

E m otio n r e co gn it io n w it h t h e C on vo lu tio n al N eu ra l
n etw ork 2 021
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T rain conv net models on a dataset of 28_709 images to recognize seven emotions from people’ s faces
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Preprocess Images with OpenCV , Python Image and Matplotlib libraries
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Fine-tune pre-trained deep convolutional network models: resnet50 and vgg16
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Explore neural style transfer
D ig it R eco gn iz er K aggle ’s C om petit io n
20
2 1
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Processed Images and set up the C
onvolutional Neural
Network
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T uned model to recognize handwritten digits from MNIST digit dataset achieving accuracy of