09/09/2026 updated


100 % available
AI/ML Enthusiast & Data Science Intern Computer Science Student specializing in AI, FinTech and IoT
Vadodara, India
Only remote
Bachelor of Technology - BTech, Computer Science (Navrachana University, May 2023 - May 2026)AI AgentsLLMPython (Programming Language)
Machine Learning Algorithms
Solid knowledge of core machine learning algorithm families including supervised and unsupervised learning, with hands-on experience training models across different feature combinations to optimize accuracy.
Data Analysis & Visualization with Matplotlib
Practical experience exploring patterns and distributions in datasets using matplotlib, supporting end-to-end machine learning workflows including data collection, cleaning, and visual analysis.
Natural Language Processing (NLP)
Foundation in NLP concepts and techniques, applied during internship projects involving AI-driven solutions and studied as part of core algorithm families in machine learning.
Python Programming
Application of Python for building AI-driven solutions, data processing with pandas, and developing cloud-connected mobile apps.
Blockchain Technology
Knowledge of blockchain technologies applied in project development, complemented by a certification in Blockchain A-Z including Crypto and ChatGPT.
Generative AI & Large Language Models
Certified knowledge in Generative AI and building real-world applications with large language models through LLMOps certification.
Data Engineering
Certified in Data Engineering, with practical experience collecting and cleaning raw datasets using pandas as part of machine learning workflows.
Reinforcement Learning
Development of reinforcement learning models as part of academic studies in AI and Computer Science.
IoT (Internet of Things)
Specialization area within Computer Science undergraduate studies, with focus on building connected and AI-driven solutions.
Solid knowledge of core machine learning algorithm families including supervised and unsupervised learning, with hands-on experience training models across different feature combinations to optimize accuracy.
Data Analysis & Visualization with Matplotlib
Practical experience exploring patterns and distributions in datasets using matplotlib, supporting end-to-end machine learning workflows including data collection, cleaning, and visual analysis.
Natural Language Processing (NLP)
Foundation in NLP concepts and techniques, applied during internship projects involving AI-driven solutions and studied as part of core algorithm families in machine learning.
Python Programming
Application of Python for building AI-driven solutions, data processing with pandas, and developing cloud-connected mobile apps.
Blockchain Technology
Knowledge of blockchain technologies applied in project development, complemented by a certification in Blockchain A-Z including Crypto and ChatGPT.
Generative AI & Large Language Models
Certified knowledge in Generative AI and building real-world applications with large language models through LLMOps certification.
Data Engineering
Certified in Data Engineering, with practical experience collecting and cleaning raw datasets using pandas as part of machine learning workflows.
Reinforcement Learning
Development of reinforcement learning models as part of academic studies in AI and Computer Science.
IoT (Internet of Things)
Specialization area within Computer Science undergraduate studies, with focus on building connected and AI-driven solutions.
Experience
Professional experience0 - 5 years
Freelancer since2025
Languages
EnglishFluent
Project history
Worked end-to-end on the machine learning workflow. Collected and cleaned raw datasets using pandas, explored patterns and distributions with matplotlib, and trained models across different feature combinations to test what actually moved the needle on accuracy.
Built a strong foundation in machine learning and NLP, studying core algorithm families including supervised and unsupervised learning, and understanding where each fits in real problems. Gained conceptual grounding to move from theory into hands-on model building.