About Me
Hi I am Srinath Krishnan 
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I’m a versatile data professional familiar with insurance pricing principles, risk modeling concepts, and actuarial compliance processes. Passionate about the entertainment industry, with a strong curiosity for data and commitment to ethical conduct in analysis. Well-versed in the full data analysis lifecycle, from data collection to insight generation.
Education
I hold a Master of Science in Business Analytics and AI from University of Texas at Dallas (2019-2023) and a Bachelor of Technology in Artificial Intelligence from Amrita School of Engineering (2019-2023).
Analysis & Visualization Skills
Computational Linguist, Panlingua LLC
Jan 2023 — Jun 2023
• Engineered NLP models using Python and PyTorch to improve model accuracy by 22% through rigorous data analysis and cost optimization techniques
• Enhanced sentiment analysis by applying data mining and process optimization strategies, achieving a 50% efficiency improvement
• Implemented data pipelines using cloud-based platforms (Azure, Snowflake) to ingest structured and semi-structured data
• Worked within Agile framework to write detailed user stories and acceptance criteria for model training workflows
Data Consultant, PanLingua LLC
Jun 2022 — Nov 2022
• Streamlined ETL workflows to reduce data preparation time by 30% using data reporting and margin analysis
• Involved in requirements gathering and prototyping UI/UX features for NLP pipeline optimization
• Collaborated with cross-functional teams across NLP, product, and engineering domains to translate business requirements
AI Research Assistant, Amrita School of Engineering
Jan 2020 — May 2023
• Led interdisciplinary research initiatives focused on cost optimization and financial performance improvement in AI systems
• Authored four peer-reviewed papers on topics spanning deep learning, computer vision, and natural language processing
• Collaborated with faculty to develop scalable machine learning solutions addressing real-world challenges
Master of Science in Business Analytics and AI, University of Texas at Dallas
Jul 2019 — May 2023
• GPA: 3.8/4.0
• Coursework: Applied NLP, Agile Methodology, Applied Machine Learning, Mathematical Programming, Operations Research
Bachelor of Technology in Artificial Intelligence, Amrita School of Engineering
Jul 2019 — May 2023
• GPA: 3.55/4.0
• Coursework: MQTT Protocol, Stakeholder management, Industrial Internet of Things, Applied Machine Learning, Statistical Analysis