Working on devising an algorithm that would predict the number of different types of incident tickets get assigned to a queue depening on the past dump data of 2-3 years.

Sybase ASE installation and administration tasks, setting up replications, migrations etc. for client/training purposes. Neo4j projects. Web Development using PHP, JavaScript, HTML, CSS and MySQL Database. Content writing and SEO tasks.

Project Details (Anand Rathi Financial Services Ltd.): Team Size: 9 OS: Cent OS MySQL: Versions 5.7 & 8 MS-SQL Server: Versions 2005/08/12/14 PostgreSQL: Version 10.6 Replication: Master-Slave filtered delayed replication Tools used: Sqoop, Flume, Tableau, Talend, SuperPuTTy, Unix Cron No. of servers: 2 prod, 2 non-prod No. of databases: 28 Timings: Related to BSE (9:30 AM-6:30 PM)

Script to gather database metrics, store them in a Neo4j graph database, and produce daily snapshot reports.

Model to predict daily incident count based on past history using ARIMA model.

Application using Neo4J graph database to model decisions and predict outcomes.

Model using YOLO Algorithm CNN to detect real-time road objects.

Model using LSTM components implemented in Bi-RNN fashion for translation.

Network using PyTorch for sentiment prediction and deployed as a web application.