Academic Profile of Prof. Kallol Bhattacharya
Kallol Bhattacharya
Associate Professor,
Artificial Intelligence & Machine Learning Department
ACADEMIC QUALIFICATION:
TOTAL EXPERIENCE: 25 Years
Linkedin: https://www.linkedin.com/in/kallolbhattacharya/
Official eMail Id: kallol.bhattacharya@nsec.ac.in
Associate Professor,
Artificial Intelligence & Machine Learning Department
ACADEMIC QUALIFICATION:
Post Graduate: Pursuing
Under Graduate: B.Tech, University College of Science and Technology
TOTAL EXPERIENCE: 25 Years
Linkedin: https://www.linkedin.com/in/kallolbhattacharya/
Official eMail Id: kallol.bhattacharya@nsec.ac.in
Professional Experience:
Research Areas:
Consultancy Projects Handled: More than 100
COURSES UNDERTAKEN:
IT expert with over 24 years of experience working with Fortune 500 companies, specializing in leadership development, instructional design and workforce transformation.
Skills proficiency includes, but not limited to:
Java Stack: Java, Node JS, React JS, Spring Boot, Microservices, Web Services, HTML, CSS, JS, Bootstrap
Microsoft Stack: React JS, .Net using C#/Vb.net, Angular, ASP.Net Core, MVC, Web API, Xamarin, Azure Service Bus, Powershell
Quality Engineering and Testing: Functional testing, Performance testing, Test Automation, Selenium
Devops: Git, Jenkins, Azure Pipelines, Ansible, Chef, Docker, Kubernetes, Splunk, JIRA,
Analytics: Python, Airflow, Tableau, Power BI, Spark, Kafka
Database: Mongo DB, MySQL, MS SQL, Oracle
Course proficiency: Data Structures and Algorithm, Programming for Problem Solving, DBMS, Internet Technology
Skills proficiency includes, but not limited to:
Java Stack: Java, Node JS, React JS, Spring Boot, Microservices, Web Services, HTML, CSS, JS, Bootstrap
Microsoft Stack: React JS, .Net using C#/Vb.net, Angular, ASP.Net Core, MVC, Web API, Xamarin, Azure Service Bus, Powershell
Quality Engineering and Testing: Functional testing, Performance testing, Test Automation, Selenium
Devops: Git, Jenkins, Azure Pipelines, Ansible, Chef, Docker, Kubernetes, Splunk, JIRA,
Analytics: Python, Airflow, Tableau, Power BI, Spark, Kafka
Database: Mongo DB, MySQL, MS SQL, Oracle
Course proficiency: Data Structures and Algorithm, Programming for Problem Solving, DBMS, Internet Technology
Research Areas:
Being pursued
Consultancy Projects Handled: More than 100
COURSES UNDERTAKEN:
Undergraduate: Radiophysics and Electronics
Last Updated on 2024-09-20 08:43:44