Aspiring AI/ML Engineer | Python • Machine Learning • Data Science | Building Real-World Projects | Open to Work

Vadodara, Gujarat, India

Hyderabad, Telangana, India

Bachelor of Engineering - BE, Computer Science
Parul University
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Download Tal BossAspiring AI/ML Engineer | Python • Machine Learning • Data Science | Building Real-World Projects | Open to Work
I am a final-year BTech student specializing in Artificial Intelligence and Machine Learning with strong interest in Python development, Machine Learning, and Data Science. I enjoy building real-world projects and continuously improving my technical skills in Python, OOP, SQL, Machine Learning, and problem-solving. Currently, I am looking for internships and entry-level opportunities where I can contribute, learn from experienced professionals, and grow as a software engineer. Technical Skills: • Python • Machine Learning • Data Science • SQL • Scikit-learn • Git & GitHub Open to: ✔ AI/ML Internship ✔ Python Developer Roles ✔ Data Science Internship ✔ Software Development Opportunities
Ahmedabad
Machine Learning Engineer at Part-time, Jan 2025 - Present · 1 yr 5 mos, Vadodara, Gujarat, India, Machine Learning Project Developer • Developed a Customer Churn Prediction model using Random Forest algorithm • Worked with a dataset of 4GB and performed data cleaning and preprocessing • Achieved 95% accuracy through feature engineering and model tuning • Tools used: Python, Pandas, NumPy, Scikit-learn
AI & ML intern at CODTECH IT SOLUTION, Jan 2026 - Apr 2026 · 4 mos, Hyderabad, Telangana, India, AI & ML Intern | CodTech IT Solutions Model Development: Architected and optimized machine learning models using TensorFlow and Scikit-learn, focusing on improving accuracy and generalization for real-world AI applications. Data Pipeline Automation: Designed end-to-end data pipelines—from ingestion to feature engineering—reducing manual preparation time by 40%. Neural Networks: Built and evaluated complex neural network architectures with Keras, utilizing hyperparameter tuning and cross-validation to maximize performance across classification and regression tasks. Natural Language Processing: Spearheaded NLP experiments by preprocessing large text corpora and implementing baseline models to turn unstructured data into actionable insights. Model Deployment: Bridged the gap between development and production by packaging trained models into REST API endpoints, validating reliability via Postman testing.
Bachelor of Engineering - BE, Computer Science, Parul University
github: https://github.com/paresh980