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@kevindamato889
Member since March 19, 2014
0 Recommendations

kevindamato889

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I am a 25 years old Software Engineer currently located in Seoul, South Korea. I've got over 3 years of experience creating production-ready software solutions. I'm most experienced in NLP (Natural Language Processing) and any step of an usual ETL process. I have worked with the following technologies: - Python, Django, Redis, Elasticsearch, Postgres, Pandas, AWS, Docker, React, SQLite
$25 USD/hr
2 reviews
2.1
  • 100%Jobs Completed
  • 100%On Budget
  • 100%On Time
  • N/ARepeat Hire Rate

Portfolio

Recent Reviews

  • image of Sfk Points of Interest $25.00 AUD

    “great job, timely delivery!!”

  • image of Matthew G. Project for Kevin $100.00 USD

    “I have worked for over a year with Kevin, from web-scraping, to new compilation, to work on several django and python based platforms I run for mobile money payments systems. Kevin has communicated well, always been prompt and often suggested new approaches that I had not though about. Highly recommended. Matt”

Experience

Software Engineer

Mar 2017 - Nov 2017 (8 months)

• Created​ ​several​ ​data​ ​gathering​ ​systems​ ​from​ ​scratch​ ​with​ ​Python​ ​3​ ​(using​ ​Django).​ ​Used​ ​Scrapy​ ​and Selenium​ ​to​ ​work​ ​around​ ​several​ ​data​ ​source/API​ ​limitations. • Updated​ ​existing​ ​system​ ​to​ ​make​ ​use​ ​of​ ​Celery​ ​workers​ ​with​ ​RabbitMQ​ ​as​ ​broker. • Improved​ ​deployment​ ​and​ ​provisioning​ ​of​ ​MagicCaptioner​ ​(​[login to view URL]​)​ ​using​ ​Ansible.

Software Engineer

Feb 2016 - Feb 2017 (1 year)

• Developed​ ​sentiment​ ​analysis​ ​tools​ ​for​ ​our​ ​existing​ ​data​ ​scrapers​ ​using​ ​Python​ ​(NLTK,​ ​Pandas)​ ​to​ ​evaluate client​ ​service​ ​satisfaction​ ​and​ ​social​ ​media​ ​perception. • Reworked​ ​the​ ​previous​ ​SOAP​ ​based​ ​webservices​ ​to​ ​REST​ ​based​ ​with​ ​the​ ​use​ ​of​ ​the​ ​Django​ ​REST framework.

Jr. Software Engineer

Jan 2014 - Feb 2016 (2 years)

• Implemented​ ​GeoLocation​ ​features​ ​for​ ​existing​ ​modules​ ​of​ ​our​ ​product​ ​(such​ ​as​ ​zone-based​ ​office​ ​finder) with​ ​the​ ​use​ ​of​ ​GeoDjango​ ​and​ ​Leaflet • Optimized​ ​existing​ ​queries​ ​to​ ​improve​ ​already​ ​existing​ ​transaction​ ​search​ ​time​ ​by​ ​15% • Created​ ​a​ ​Scheduler​ ​for​ ​one​ ​of​ ​our​ ​finance​ ​solutions • Documented​ ​existing​ ​legacy​ ​code​ ​for​ ​future​ ​maintenance

Education

BS.c in Computer Science

2013 - 2017 (4 years)

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