Profile Photo

Partha Pratim Manna

System Engineer at Tata Consultancy Services
Kolkata, West Bengal, India
partha_pratim_manna@yahoo.in
+91 8910147797

API and UI automation tester with 3+ years of professional IT experience. Passionate about new technologies and solving technical problems. Possess strong knowledge in Java, Python and Node.js. Worked on developing API test automation framework in python. Also worked on web UI automation using Selenium in Java and Python.

Work Experience

06/2019 - Current
Credit Bureau • System Engineer • Tata Consultancy Services
API automation testing

Worked on testing APIs and worked on developing a configuration based framework in python where no programming is required for API testing.

Web UI automation

Worked on web UI automation using selenium in java to collect data from webpages.

Web UI testing

Worked on web UI testing using selenium in python.

Industry Knowledge

API Automation Testing Web Automation Web UI testing Web Development Object Oriented Programming Data Structure Agile Methodology AWS Services

Programming Knowledge

Java Python JavaScript (Node.js) SQL HTML CSS

Tools & Technologies

Spring Framework Spring Boot Selenium (Java & Python) Git MySQL MongoDB Pandas Unix script (Linux)

Education

B.Tech in Computer Science and Engineering
2015 - 2019DGPA – 8.34
College of Engineering and Management, Kolaghat
Higher Secondary (12th Boards)
2015 - 2019ISC – 89.25%
St. Xavier's Institution, Panihati
Secondary (10th Boards)
2002 - 2013ICSE – 86.40%
Rockvale Academy

Research Publications

Question Answering System in Bengali Using Semantic Search

Question Answering system (QA) is a computer program that takes question as input and retrieves answer using Information Retrieval (IR). This work presents the design, implementation and evaluation of QA system based on semantic analysis using Bengali WordNet. The data sets are prepared from the Bengali text corpus which is developed under the TDIL (Technology Development for Indian Languages) project of the Government of India.


A Knowledge based Approach to Analyze the Sentiment of Online Review

The online reviews about several entities are collected from the internet (eg. Amazon, Flipkart) using a crawler program. The sentiment of individual review is resolved using two algorithms. First one is the Lexical Similarity based approach and second algorithm is based on Context Expansion strategy.

Personal Interests

Computer Networking Android App Development Website building Java Network Programming Website Scrapping Small Automation Projects Utility Programs

Languages Known

English Bengali Hindi