Nithish Arul
@nithisharul
2nd-year AI & ML undergraduate skilled in ML model implementation, algorithms, and data analysis.
What I'm looking for
I am a 2nd-year Artificial Intelligence and Machine Learning student at SRM IST with hands-on experience implementing ML models, optimizing algorithms, and processing data to extract actionable insights. I collaborate well in teams, have held internships in machine learning and AI, and contribute to campus technical teams and competitions like Robocon.
I am eager to deepen my knowledge in algorithms, deep learning, and data science while delivering solutions that make a lasting impact; I pursue practical projects such as diabetes prediction, bike-sharing demand forecasting, sentiment analysis, and mobile health behavior analysis.
Experience
Work history, roles, and key accomplishments
CSE AI/ML Undergraduate
SRM Institute of Science and Technology
Jan 2024 - Present (1 year 9 months)
Pursuing a BTech in Computer Science (AI & ML), gained hands-on experience implementing ML models, optimizing algorithms, and leading student projects in health analytics and demand prediction.
Machine Learning Intern
Fox Trading Solutions
Jan 2025 - Dec 2025 (11 months)
Implemented machine learning models and data preprocessing pipelines during an internship, contributing to model optimization and analysis for trading-related datasets.
AI and Machine Learning Intern
Yhills
Jan 2024 - Dec 2024 (11 months)
Developed and evaluated AI/ML models for educational technology projects, focusing on data analysis and improving model performance during a short-term internship.
Education
Degrees, certifications, and relevant coursework
SRM Institute of Science and Technology
Bachelor of Technology, Artificial Intelligence and Machine Learning
Activities and societies: ACM Student Chapter; SRM Team Robocon; projects include Mobile Health Human Behavior Analysis, Bike Sharing Demand Prediction, Diabetes Prediction, Movie Comment Sentiment Analysis
Second-year undergraduate student in Artificial Intelligence and Machine Learning with practical experience implementing ML models and analyzing data to extract insights.
Availability
Location
Authorized to work in
Job categories
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