Anshal Shivshimpi

WORK HISTORY

ABOUT ANSHAL SHIVSHIMPI

I am an aspiring Applied Machine Learning Engineer with strong hands-on experience in building, training, evaluating, and deploying end-to-end machine learning solutions. My primary focus is on transforming real-world data problems into scalable, production-ready AI systems.I have worked extensively with Python, Pandas, NumPy, and Scikit-learn to perform data preprocessing, feature engineering, exploratory data analysis, and model optimization. I have hands-on experience implementing supervised and unsupervised learning techniques, including classification, regression, clustering, and dimensionality reduction.I have built and deployed machine learning models as REST APIs using FastAPI, containerized applications using Docker, and followed industry-standard development workflows with Git and GitHub. My projects involve working with large datasets, applying evaluation metrics such as F1-score, RMSE, and MAE, and focusing on model performance, interpretability, and real-world usability.I have gained industry exposure as a Machine Learning Intern at Tata Communications, Pune, where I worked on real-world datasets and contributed to data preprocessing, feature selection, and model evaluation tasks. This experience strengthened my understanding of how machine learning systems are developed and applied in production environments.Currently pursuing a B.Tech in Information Technology from Walchand Institute of Technology, Solapur (Class of 2026), I am actively seeking opportunities in Machine Learning Engineer, Data Scientist, or AI Engineer roles where I can apply my skills to solve meaningful problems and continue growing as an AI professional.Key Skills:Machine Learning | Python | Data Analysis | Scikit-learn | XGBoost | FastAPI | Docker | SQL | Git | AWS (Basics) Open to internships and full-time opportunities in AI/ML.