Built Software as a Service (SaaS) platform that performed NLP(Natural Language Processing), entity extraction, and analytics. Use Python.

Used MongoDB as NoSQL database for managing more than one million job postings.

Utilized Celery as message queue service with concurrent processing for back end logic tasks.

Enabled web crawling to search for candidate résumés and posted jobs, using Python external APIs, including Scrapy, Spider, and urllib.

Performed real-time searching and data indexing with ElasticSearch.

Extracted and analyzed résumés with NLTK, increasing résumé parsing accuracy from 35% to around 70%.

Used Agile Software Development to perform every task during two-week sprint.