Swapnanil Biswas

Computer Science undergraduate specializing in Data Science, with hands-on experience in Python, Java, Machine Learning, and backend development using Spring Boot. Completed a Machine Learning internship at Ardent, building a fraud detection system on imbalanced datasets, and independently built and deployed a full end-to-end version of the same project. Also built an automated email lead-generation pipeline (Python, MongoDB, REST APIs) that scrapes and extracts company data to generate personalized outreach emails.

Strong foundation in Data Structures, Algorithms, and OOP, with a track record of hackathon participation and continuous self-learning.

Machine Learning Intern - Ardent

• Built a credit card fraud detection system using Machine Learning techniques on a highly imbalanced dataset, covering data preprocessing, model training, and evaluation.
• Applied industry practices for handling class imbalance and evaluating model performance beyond simple accuracy, under the guidance of the engineering team at Ardent.

B.Tech.

• Computer Science and Engineering (Data Science) - Future Institute of Engineering and Management (2023-08 - 2027-06)

Higher Secondary (Class XII) - West Bengal Council Of Higher Secondary Education (2023-03)

Secondary (Class X) - Council for the Indian School Certificate Examinations (ICSE) (2021-05)