Summary
Overview
Work History
Education
Skills
Projects
Publication
Technical Skills
Hobbies
Certification
Timeline
SoftwareEngineer
Sourik Banerjee

Sourik Banerjee

GRC Consultant
Kolkata

Summary

A computer science graduate with applied management, and marketing skills. Seeking a challenging position in an organization to expand and utilize my learning, skills, and knowledge.

Overview

1
1
year of professional experience
5
5
years of post-secondary education

Work History

GRC Consulting Intern

CyRAACS
Bangalore
08.2023 - Current

• Completed extensive training sessions on risk management principles and methodologies, gaining a deep understanding of how to identify, assess, and mitigate cybersecurity risks for clients.

• Completed online modules dedicated to various cybersecurity frameworks, including NIST, ISO 27001, and others. This training, offered by CyRAACS, helped me gain proficiency in aligning organizations' security practices with industry standards and regulations.

Technical Program Associate Intern

Newton School
Remote
09.2023 - 11.2023

• Revamped the Data Science curriculum, integrating key topics like Math, Excel, Power BI, SQL, and Machine Learning, ensuring its alignment with industry standards.

• Developed impactful lecture notes and coding contests for Machine Learning modules, enhancing student comprehension and performance.

AI Intern

Karomi Technology
Remote
07.2023 - 08.2023

• Designed and developed a PDF content extraction and classification model for digital documents.

• Achieved successful extraction of text, images, and object properties, enabling efficient content analysis and retrieval.

Project Management Intern

House Of Babas
Vellore
12.2022 - 03.2023

• Approached various clubs and chapters in Educational Institute for merchandise collaboration

• Connected with other brands and startups for merchandise partnership which increase sales revenue by 5%

• Planned strategic marketing which helps in 20% growth in customer acquisition

Marketing Intern

Code Dualitas
Vellore
11.2022 - 02.2023

• Contributed to mock-ups, email campaigns, and social media content.

• Assisted with development of event strategies and tactical plans to promote accomplishment of marketing goals.

• Collaborated with team members to help expand marketing channels.

Business Management Intern

Stalwart Esports
Remote
09.2022 - 12.2022

• Analyzed the target market and approached the Endemic and Non-Endemic brands.

• Prepared the Business Deck and pitched it to the brands along with the business team.

• Successfully conducted Brand Campaigns which helps in15% increase in sales revenue

Education

Master of Science - Computer Application

Vellore Institute of Technology
Vellore, India
06.2022 - Current

Bachelor of Science - Computer Science

Scottish Church College
Kolkata, India
03.2019 - 06.2022

Skills

    Cyber Security

undefined

Projects

 
Crop Yield Recommendation System 

This project involves developing an advanced system that employs machine learning to analyze soil attributes, weather conditions, and historical data, providing precise crop recommendations for farmers. By integrating data-driven insights, the system aims to optimize crop selection and enhance agricultural productivity. 

GitHub Link - https://github.com/Sourik07/Crop-and-Fertilizer-Recommendation-System

 
Disease Detection in Plant using Transfer Learning 

This project is concentrating on automating disease detection from the leaves using the Pre-Trained Deep Convolutional Neural Networks. 

GitHub Link - https://github.com/Sourik07/Disease-Detection-in-Plant

 
Identification of Sex, Age & Plumage of Bird Species 

A machine learning model for the identification of age, gender, and plumage of a Bird Species. We have used DenseNet121 for training the model. We have also shown the accuracy comparison by applying a few other convolutional neural networks (CNN) like VGG19. 

GitHub Link - https://github.com/Sourik07/Identification-of-Age-Gender-and-Plumage-of-a-Bird-Species


Fraud Detection in Bank Transaction 

A machine learning model to detect fraud in bank transactions. We have used Adaptive Synthetic (ADASYN) sampling technique for sampling the data as the number of fraudulent data is very low compared to the non-fraudulent data. Then we have XGboost for training the model. We have also given a comparison of accuracy with other models.
GitHub Link - https://github.com/Sourik07/Fraud-Detection-using-XGBoost 


File Transferring System using Multi-Threaded Server 

The File Transferring System using the Multi-Threaded Server project is a software application that enables the efficient and reliable transfer of files between multiple clients and a central server. The system is designed using a multi-threaded server architecture to handle multiple clients concurrently, improving the overall system performance. 

GitHub Link - https://github.com/Sourik07/File-Transferring-System-using-Multi-Threaded-Server


The Phoenix Rising - One stop Destination for Bird Watchers 

The Phoenix Rising is a one-stop destination for ornithologists, bird watchers, Wildlife Photographers, and Wildlife Enthusiasts to study Indian Birds. The website is based on the Ecology - Academia - Revenue model including the features of an Avian Encyclopedia, Articles and Documentation on Indian Birds, Wildlife Photography Tour booking, and an Ecommerce section related to it. 

Website Link -  https://thephoenixrisingin.wixsite.com/mysite






Publication

 
Deep Learning Techniques for Smart Agriculture Applications - Book Chapter 

With an emphasis on the rapid and accurate diagnosis of plant and fruit diseases, researchers have been looking into sustainable agriculture utilizing cutting-edge deep learning techniques. The objective is to show how effective deep learning algorithms can revolutionize the agricultural industry. Automated illness detection is the main area of focus, where advances in image processing and computer vision techniques enable precise and quick identification while lowering labor requirements and associated costs. In order to identify plant and fruit diseases in a sustainable manner, this book chapter intends to explore the possibilities of deep learning algorithms in detecting diseases from the leaves of agricultural plants using pre-trained deep convolutional neural network. This book chapter provides informative information on the use of deep learning in smart agriculture and a significant resource for researchers, professionals, and students interested in sustainable farming and intelligent agricultural systems.
Link - https://www.igi-global.com/chapter/deep-learning-techniques-for-smart-agriculture-applications/329887 

Technical Skills

• Python

• SQL

• Excel

• Tableau

• PowerBI

• Adobe Photoshop

• TensorFlow


Hobbies

• Wildlife Photography

• Ornithology

• Cricket

• Table Tennis

• Football

• Travelling

• Esports

Certification

  • Cybersecurity Foundation - LinkedIn Learning
  • Ethical Hacking: Vulnerability Analysis - LinkedIn Learning
  • IT and Cybersecurity Risk Management - LinkedIn Learning
  • Security Frameworks Fundamentals - LinkedIn Learning
  • Photoshop in Depth: Mastering Photoshop - Udemy
  • Full Stack Web Development - Udemy
  • Data Analytics with Specialization in Tableau - Jobaaj

Timeline

Technical Program Associate Intern

Newton School
09.2023 - 11.2023

GRC Consulting Intern

CyRAACS
08.2023 - Current

AI Intern

Karomi Technology
07.2023 - 08.2023

Project Management Intern

House Of Babas
12.2022 - 03.2023

Marketing Intern

Code Dualitas
11.2022 - 02.2023

Business Management Intern

Stalwart Esports
09.2022 - 12.2022

Master of Science - Computer Application

Vellore Institute of Technology
06.2022 - Current

Bachelor of Science - Computer Science

Scottish Church College
03.2019 - 06.2022
Sourik BanerjeeGRC Consultant