An Oracle Certified Associate, Java SE 8 Programmer has demonstrated knowledge of object-oriented concepts, the Java programming language and general knowledge of Java platforms and technologies.
Hadoop Platform and Application Framework
Jul 2016 - Sep 2016
This course is for programmers or business people who would like to understand the core tools used to wrangle and analyze big data and get hands-on experience with Hadoop and Spark frameworks, two of the most common in the industry.
This solution is a patented solution. In Sentinel, an SIEM product, 1000s of alerts are generated daily. An analyst will not be able to go through every single alert and identify if it is a critical incident that needs further action or not. This solution helps solve this problem. Based on the existing alerts escalated as an incident, analyze the probability of a current alert being escalated to an incident through Machine learning and display the incident probability value to help the security analyst analyze the probability of escalating an alert to an incident much faster.
Based on the existing alerts escalated as an incident, analyze the probability of a current alert being escalated to an incident through Machine learning and display the incident probability value to help the security analyst analyze the probability of escalating an alert to an incident much faster.
Name Matching
16 May 2021
This is an algorithm written using Python. The primary objective of this algorithm to match names. The usual approach one would take is using a Levenshtein distance algorithm or Jaro distance or similar algorithms. But this doesn't really cover a lot of scenarios. The idea here was to match names by sounds and also use other string match algorithms to compliment this sound based algorithm.
Scraping and analytics of stock data
16 May 2021
The project is a web application that uses the predictive capacity of User Generated Content (UGC) to predict stock prices. It scrapes UGC from Twitter, Yahoo Finance News and Yahoo Finance Messages. Sentiment analysis is performed on the UGC and the effective sentiment is used to predict the next day's price of any NASDAQ company.
Primary Language : Python
Web Application Framework : Django
DBMS: MySQL
Front-end: HTML, CSS, JavaScript, Bootstrap.
Keywords: Stocks, Prediction, Scraping, Predictive Analytics, User Generated Content, Sentiment Analytics, Natural Language Pricessing, Python, Django
Cascade Merge
16 May 2021
An app for GitHub that can when installed on any repository, listens for webhook events and automatically merges changes to newer release branches, reducing the need for manual maintenance of branches. This is a Node JS application using express js, sqlite db and containerized with Docker.