Kaustav Das

AI/ML enthusiast with keen eye towards research and developing solutions with ML/DL, currently undergoing training at IBM, looking for data science internships/jobs.

• Got selected for the Associate System Engineer role at IBM and currently undergoing training.
• Represented my university and ranked 2nd in FIRE 2023 for building a multi-label classifier that identifies (10+) vaccine concerns from tweets pertaining to COVID-19 with an impressive macro-f1 score of 0.71.
• Finalist at DOCEREE TECH-GIG M.L. Hackathon, Finalist (placed among top 12 teams out of 2000+ individuals all over India) at Doceree Machine learning Hackathon (Code Gladiators 2023) by Tech gig, for scoring an impressive 99.79% accuracy on test data for classifying if a person is hcp professional or not in round 1 and creating a classifier that classifies 207 taxonomy classes with an accuracy of 83.13% on test data in round 2. Here's my certificate.
• Secured 8th rank in Smart Bengal Hackathon among 400+ teams, Built a face recognition system that recognizes visitors on their next visit to the facility , collects data, and does so without spending time on concurrent machine learning. Here is my certificate.
• FIRE 2022, Secured 3rd and 5th place at the IRMDIS data track challenge. The problem statement was to analyze covid tweets and based on that, the tweets had to be classified into 3 categories that are AntiVax, ProVax, and Neutral and also reporting symptoms. Built a machine learning model which achieved a macro F1 score of 52.8%. Here is my certificate and notebook on the same. And my working note on both the tasks.
• Secured 1st place at university ML hackathon, Won 1st place at Amiphoria (Model arena: Machine Learning Hackathon) cultural festival by Amity University 2023. Here's my certificate.