About Me
Hello! My name is Swarup Bej, and I am currently pursuing my M.Tech in Computer Science and Data Processing from the Indian Institute of Technology Kharagpur.
I have a strong passion for technology and a keen interest in exploring the field of data processing and analysis. Through my coursework and projects, I have gained knowledge and experience in various areas such as machine learning, data mining, and software development.
I believe in continuous learning and keeping up with the latest advancements in the field. I enjoy tackling challenging problems and coming up with innovative solutions. With a strong foundation in computer science and a data-driven mindset, I strive to contribute to the development of intelligent systems that can make a positive impact on society.
Besides my academic pursuits, I actively participate in hackathons and coding competitions to enhance my problem-solving skills and collaborate with like-minded individuals. In my free time, I enjoy reading books, exploring new technologies, and working on personal coding projects.
Education
| Degree | Branch | University | Year of Passing | CGPA/percentage |
|---|---|---|---|---|
| MTech | CSDP | IIT Kharagpur | 2024 | 8.14 |
| MSc | Mathematics | University of Hyderabad | 2020 | 8.10 |
| BSc | Mathematics | Midnapore College | 2018 | 73% |
Projects
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Automated Trading System (Master Thesis Project) | Dr. Arindam Banerjee | IIT Kharagpur | Aug 2023 - Present
- Developing an automated trading system in Python to optimize decision-making and minimize emotional bias in stock market trading.
- Conducting thorough backtesting with historical data to refine trading strategies, achieve a balance between minimizing losses, maximizing profits, and integrating machine learning models to accurately predict market direction.
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Customer Segmentation Analysis (Term Project) | AI & ML | Dr. Budhananda Banerjee | IIT Kharagpur | Jan 2023 - April 2023
- Collaborated in a team of 5, employing K-Means Clustering techniques to segment shopping mall customers into four distinct categories.
- It will enhance the shopping experience, optimize inventory, lead to increased customer satisfaction and loyalty, and boost profitability.
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Handwritten Digit recognition using CNN (Seminar Project) | Dr. P.V.S.N. Murthy | IIT Kharagpur | July 2022 - Nov 2022
- Incorporated a deep CNN architecture with ReLU, softmax activations, and Adam optimization for accurate handwritten digit classification.
- Utilized sparse categorical cross-entropy loss in the deep CNN, achieving 97% accuracy on MNIST for robust digit recognition.
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Mobile Price Prediction (Term Project) | Big Data Analysis | Dr. Bibhas Adhikary | IIT Kharagpur | Jan 2023 - April 2023
- Developed a machine learning model to predict the price of mobile phones using KNN, PCA and LDA, achieving an accuracy of 89%.
- Collected data of different mobile phones from different e-commerce websites using web scraping tools Beautiful Soup library of Python