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.
• 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.
• 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.
• 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.
• 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
• 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.
• 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
Cyber Security
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
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
• Python
• SQL
• Excel
• Tableau
• PowerBI
• Adobe Photoshop
• TensorFlow
• Wildlife Photography
• Ornithology
• Cricket
• Table Tennis
• Football
• Travelling
• Esports