I am an AI/ML graduate student with strong academic knowledge and hands-on project experience in computer vision, NLP, and predictive modeling. I thrive on turning data into actionable insights and building AI solutions that solve real-world problems. I am proficient in Python, machine learning algorithms, model evaluation, and data analysis using industry-standard tools. I enjoy collaborating across disciplines to deliver measurable improvements and drive data-driven decision making.

Chandrahas Arisetti

I am an AI/ML graduate student with strong academic knowledge and hands-on project experience in computer vision, NLP, and predictive modeling. I thrive on turning data into actionable insights and building AI solutions that solve real-world problems. I am proficient in Python, machine learning algorithms, model evaluation, and data analysis using industry-standard tools. I enjoy collaborating across disciplines to deliver measurable improvements and drive data-driven decision making.

Available to hire

I am an AI/ML graduate student with strong academic knowledge and hands-on project experience in computer vision, NLP, and predictive modeling. I thrive on turning data into actionable insights and building AI solutions that solve real-world problems.

I am proficient in Python, machine learning algorithms, model evaluation, and data analysis using industry-standard tools. I enjoy collaborating across disciplines to deliver measurable improvements and drive data-driven decision making.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate

Language

English
Fluent

Work Experience

Major Project: Chronic Disease Management Using Large Language Models (LLMs) at Heriot-Watt University Dubai (Major Project)
January 1, 2024 - Present
Developed an LLM-driven solution to support chronic disease management through patient education and self-management guidance. Built predictive risk assessment models that achieved approximately 80% accuracy. Applied NLP techniques for personalized recommendations and clinical decision support. Improved data-driven decision-making through structured patient data analysis.
Minor Project: Accident Detection System at Heriot-Watt University Dubai (Minor Project)
July 1, 2024 - October 1, 2024
Designed and developed an AI-based accident detection system using CCTV video streams. Implemented object detection and motion analysis using OpenCV and YOLOv3. Performed data preprocessing, model training, and evaluation achieving approximately 90% accuracy. Integrated automated alert system to notify emergency response teams with real-time location details.

Education

Master of Science in Artificial Intelligence at Heriot-Watt University, Dubai, UAE
January 11, 2030 - February 17, 2026
Bachelor of Technology in Artificial Intelligence & Machine Learning at Anurag University, India
January 11, 2030 - April 1, 2025

Qualifications

Python Programming – Cisco
January 11, 2030 - February 17, 2026
Data Structures and Algorithms – Board Infinity
January 11, 2030 - February 17, 2026
Introduction to Natural Language Processing – Infosys Springboard
January 11, 2030 - February 17, 2026
Machine Learning with Python – Cognitive Class
January 11, 2030 - February 17, 2026

Industry Experience

Healthcare, Life Sciences, Software & Internet, Education, Professional Services