Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 2


StartUp Help

Project description
The aim of the project was to build the bot which will predict if startup will receive
investments based on information about that startup.

My main responsibilities were:
1. Processed data from database.
2. Developed prediction model.
3. Analyzed model results.

Tools and technologies I used:
1. Languages: Python.
2. Libraries: nltk, scikit-learn.
3. Database: MongoDB.


Data Processing System

Project description
The aim of the project was to build system to gather data from many data sources
store and visualize it.

My main responsibilities were:
1. Developed libraries to get specific data from data sources.
2. Developed Airflow workflows.
3. Developed custom Airflow operators.

Tools and technologies I used:
1. Languages: Python, SQL.
2. Frameworks: Airflow.
3. Database: PostgreSQL.

My main skills:

1. Data Science:
a. supervised learning algorithms (linear regression, logistic regression, SVM,
XGBoost etc.)
b. unsupervised learning (k-means, gaussian mixture model etc.)
c. worked with deep learning algorithms. Have an experience with computer
vision. Familiar with different convolutional neural network architectures:
AlexNet, VGGNet etc.
d. worked with such NLP techniques as: lemmatization, stemming, PoS
tagging, word segmentation, named entity recognition, etc.
e. worked with different libraries for machine learning (numpy, scikit-learn,
opencv, nltk, etc.) have an experience with keras.
2. I’ve been working the most with Python for almost three years. Understand OOP
principles, had an experience with different python frameworks (Flask, asyncio,
etc.). Also understand multithreading/multiprocessing principles and how it
works in python (features of GIL, etc.).
3. Experience with AWS greengrass
4. Communication and presentation skills.
5. Experiance in the teamwork.