Columbia University
CGPA: 3.89/4.0
Relevant Coursework: Data Engineering, Data Science, Machine Learning Frameworks, NLP, Statistical Modelling, Speech Processing
Capstone Project: I worked with Anheuser-Busch to develop unsupervised machine learning models for customer segmentation.
Working as a Research Assistant in the Speech Lab. This study utilizes LibROSA, Opensmile, and LIWC to extract acoustic-prosodic and lexical features from the Switchboard Dialogue Act Corpus. These features are then used to construct multi-modal models, combining LLMs and CNNs, for predicting dialog acts from text and speech input in Text-to-Speech applications.
Manipal Institute of Technology
Minor: Big Data Analytics
Relevant Coursework: Software Engineering, Data Structures, Algorithms, Database Management, Cloud Computing, Machine Learning with Big Data, Graph Analytics with Big Data
I undertook multiple internships in startups as well as MNCs, working as a data engineer, data scientist, and natural language processing intern.
Part of the second batch of The Think Tank, an organization supporting on-campus student initiatives like TED talks, industry interaction events, etc.