Krishna Vellampillil Chandran

Recent Master of Science graduate with a Merit in Data Science. Proficient in principles of data science, programming, big data analytics, and machine learning. Skilled in data management systems and information retrieval. Strong analytical mindset and adept at leveraging technology for effective problem-solving. Eager to contribute to data-driven decision-making in a dynamic professional environment.

Use Deep Learning to Detect Depression From Various Dataset Formats Including Text, Audio and Video

Masters Project - Coventry University - 06/2023 to 08/2023

• Applied deep learning techniques to detect early-stage depression from text, audio, and video data using the DAIC-WOZ dataset within the Distress Analysis Interview Corpus.
• Utilized KDD methodology to extract actionable insights, employing CNN, LSTM, and Bi-LSTM algorithms for effective depression detection.
• Implemented multimodal fusion techniques, combining text, audio, and video data, highlighting superior performance of audio-based data. Prioritized LSTM models for enhanced accuracy in depression detection.

Medicare

Trainee Project - Quest Global - 09/2021 to 10/2021

• Led the development of a Hospital Management System, optimizing healthcare operations and enhancing efficiency.
• Managed the Laboratory Module, overseeing design and implementation of scheduling, tracking, and secure result recording.
• Utilized Java and SQL, contributing to the digital transformation of the healthcare sector, improving patient care.

• Cambridge English Entry Level Certificate in ESOL International
  (Entry 3)(Business Preliminary)