Prashanth Portfolio

Experience

Machine Learning Engineer - NLP

Designed and implemented data science Proof of Concept (POC) from scratch, including the development of ML models and a database framework for Crisis and Information Extraction & prediction using Python, SQL, and NLP techniques.
Actively contributed to all phases of the internship project. Played a pivotal role in brainstorming sessions, literature reviews, and collaboratively defining project objectives during the Introduction into POC.
Demonstrated a high level of commitment to meeting deadlines. Meticulous planning and adherence to timelines were evident during the implementation of AI Crisis Classification, Text summarization with Topic Modeling, and documentation.
Aligned seamlessly with Equanimity's operational needs in addressing deviations. Utilized Notion for tracking daily and weekly objectives and Sprint Planning, showcasing adaptability and flexibility.
Contributed to the development of a robust Business Intelligence (BI) dashboard and MLOps pipeline for crisis management.
Displayed proactive approach, adaptability, and commitment to the success of the Equanimity internship, spanning all organizational aspects.

Associate Data Scientist

Developed and implemented data science solutions for SME Bank, specializing in predictive modeling, statistical analysis, and NLP/text processing.
Created a robust Non-Performing Assets (NPA) prediction system using Python, SQL, and NLP techniques, optimizing loan portfolio management and profitability.
Contributed to the design and development of CAPTON AI Banking product and SAFEO AI Computer Vision Healthcare Product.
Utilized skills in predictive modeling, statistical analysis, recommendation systems, web scraping, image processing, computer vision, video analytics, and NLP.
Implemented improvements to product efficiency by 30% through bug fixing and the implementation of a new product architecture.