Vellore Institute of Technology, Vellore
B.Tech in Computer Science Engineering (2016-2020)
CGPA : 8.92
Automation Test Engineer | Cloud Enthusiast | Writer at TowardsDataScience & Analytics Vidhya
B.Tech in Computer Science Engineering (2016-2020)
CGPA : 8.92
Python (Flask), Java ,SQL, JavaScript, HTML/CSS, Perl
Jenkins, Selenium, Postman, ReadyAPI, Jira, Jupyter Notebook, SSMS, Git, Perfecto, DevTest Workstation
Test Automation, Functional & Regression Testing, Mobile Testing, Linux, Machine Learning, Cloud Services
Uses Data Science and Unsupervised Machine Learning (Clustering Algorithm) to find favorable and feasible locations for building new hotels
Detect hate speech and classify twitter texts using NLP techniques and Machine Learning
Using Sentiment Analysis to understand Customer Satisfaction in US Healthcare Industry
A simple to-do web application to feed your daily reminders,update and delete them. Uses database for storage of your tasks.
Automated application that uses your voice command like "Search Javascript" and opens up the first video in Youtube Search results
A Flask based Web Application integrated with Machine Learning to classify YouTube Comments as Spam or Not-Spam
Skills : AWS, Cloud Platform, Cloud Computing, Cloud Services
Skills : Azure, Cloud Data, Cloud Networking, Cloud Services, Cloud Security, Cloud Storage, Virtualization
Skills : Azure, Azure Cosmos DB,Azure Data Analyst,Azure Database Administrator, Azure Databricks, Azure Data Engineer, Azure Data Warehouse, Azure SQL Database, Azure SQL Data Warehouse, Azure Synapse Analytics, Data Analytics, Data Processing, Data Visualization, MariaDB, MySQL, PostgreSQL, Power BI, SQL Server On Azure Virtual Machines
Skills : Classification, Clustering, Data Analysis, Data Visualization, Folium, IBM Cloud, Machine Learning, Matplotlib, Pandas, Python, Recommender Systems, Seaborn, SQL
Product reviews always act as a great source of information for a company. These reviews record the customer’s feedback on the product and services that the company provides. The problem that we face is that the number of reviews in these kinds of portals are in thousands for which manual analysis is time-consuming and inefficient. So, we plan to make an automated system using machine learning which can do the job of analyzing a large number of comments in seconds thereby increasing efficiency.
A data scientist must go through the pain of finding data. But just finding the data isn’t enough, there are changes that must be made to the data so that it can be used for practical purposes. In this article, i will show you how challenging it can be to gather data. We will also learn how to deal with such problems
You took the trouble of installing a webcam or a surveillance camera at your home, or office, or any place that you own. Obviously, you would want to be able to watch the live stream of the video anyplace and anytime you like. So how do you use your web browser to view the live streaming?
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