Kateryna Drogaieva (KaterynaD)

KaterynaD

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Company:CSE Insurance

Location:Walnut Creek CA

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Kateryna Drogaieva's repositories

Boto3-Demo

Examples of dynamic creation and use of VPC, EC2, Load Balancer, Auto Scaling group, Launch Configuration, Redshift cluster, S3, SQS, SNS

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TweetsAutorshipAttributionModelsEvaluation

In this notebook I work on the question whether the author of a tweet (very short text) can be successfully identified. I try to choose the best classification method its parameters set and features

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Auto-Insurance-Risk-Classification-and-Claim-Prediction

XGB model and feature importance to predict At Fault Auto Claims

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Mini-ETL-Tool

Mini ETL Tool is a Python module. It allows to run SQL and CLI commands in parallel or sequential mode, set up preconditions, dependencies and notifications

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2016-US-President-Election-Primary-Results-Analysis

Correlation analysis between candidates and county facts based on 2016 US President Election Primary Results by county

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AWS-Sage-Maker-Machine-Learning-Experiments-Automation

Machine Learning experiments automation with the help of AWS Sage Maker using XGBoost Classification and Insurance Property data

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aws_data_pipeline_samples

Few AWS Data Pipeline samples to demo export from MS SQL to a file in S3 bucket, load a DynamoDB table to Redshift, multiple dependencies in the flow

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BartScraper

The application collects real time train departures from Bart API

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Data-Feeds

Advanced SQL

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data-pipeline-samples

This repository hosts sample pipelines

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eva.ru

What Russian women talk about - Natural Language Processing (NLP) research of Russian women eva.ru forum

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Insurance-Data-Pipelines

Pentaho Data Integration ETL and Matillion ELT

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Insurance-Data-Warehouse

Data Warehouse Modeling

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KaterynaD

Config files for my GitHub profile.

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KaterynaD.github.io

Personal site

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TechcrunchPostsMulticlassPostsClassification

In this notebook I search the best classifier and its parameters for posts multi-class classifications based on authorship attributes

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TweetsListener

Collects tweets and performs sentiment analysis based on emoticons and NLP (TextBlob)

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