1+ year of applied experience in AI, Machine Learning, and Data Analytics, focusing on model building and data quality improvement.
Technical Proficiency
Skilled in Python, Pandas, NumPy, TensorFlow, NLP, and LangChain for data preprocessing, model training, and automation pipelines.
Top Skills
Artificial Intelligence (AI)
Expertise in AI concepts and applications.
Artificial Neural Networks
Deep understanding of neural network architectures.
AI for Design
Applying AI principles to design challenges.
Professional Experience
AI Data Quality Analyst - ROOMAN TECHNOLOGIES | BANGALORE, INDIA
(Oct 2024 – Feb 2025)
Optimized AI/ML data pipelines by automating preprocessing, validation, and cleaning with Python, Pandas, and NumPy, improving data accuracy and model performance.
Certifications
CODTECH IT SOLUTIONS
Data Science Internship Completion Certificate
Electronic Arts
Software Engineering Job Simulation
Quantium
Data Analytics Job Simulation
Accenture North America
Data Analytics and Visualization Job Simulation
Deloitte Australia
Data Analytics Job Simulation
Key Projects: Product & Document Intelligence
SmartCart AI Insights
Created a machine learning system using Python, TensorFlow, Pandas, Flask, and AWS for personalized product recommendations, increasing precision by 18%.
IntelliDocs – AI-Powered Document Analysis
Developed an NLP application using LLMs, LangChain, GPT-4, Streamlit, and AWS Lambda for document summarization, classification, and interactive chatbot querying, enhancing response efficiency by 30%.
Key Projects: AI & Machine Learning
Traffic Real-Time Quality Validation
Developed an AI pipeline using Python, YOLO, Docker, Kubernetes, and AWS for real-time data validation and improved model accuracy.
Automated Skin Cancer Detection
Built a deep learning model with TensorFlow, Keras, Django, GCP, and CI/CD, achieving 95% accuracy in image classification.
Experience: CODTECH IT SOLUTIONS
Data Science Intern
February 2025 - May 2025 (4 months)
Bengaluru
Participated in a 12-week online Data Science internship, enhancing skills and gaining practical knowledge. Contributed to team projects, completed assignments, and engaged in discussions to deepen understanding of data science principles and applications. Focused on skill development and practical experience.
Education: JAIN COLLEGE OF ENGINEERING
Bachelor of Engineering - BE in Electronics and Communication Engineering