As a Machine Learning Engineer, you have gained valuable skills and expertise in various areas of data analysis, predictive modeling, and AI development. My responsibilities likely involve leveraging machine learning algorithms and techniques to solve real-world problems and drive business impact. Specifically, I Involved in tasks such as data preprocessing, exploratory data analysis (EDA), feature engineering, model development, and model evaluation. Additionally, collaborate with stakeholders to understand business requirements, translate them into data analysis strategies, and communicate findings effectively to drive informed decision-making processes. My experience indicates proficiency in Python programming, utilization of machine learning libraries such as TensorFlow and Pandas, and deployment of models for practical applications. Overall, as a Machine Learning Engineer, I will play a pivotal role in applying AI and ML techniques to extract insights from data, develop predictive models, and contribute to the success of organizations across various domains.

Key Skills

Expertise in Python programming

Data manipulation Model development Data Preprocessing EDA Image recognition Natural Language Processing Statistical Analysis Model Optimization

Tools

Python

Jupyter Notebooks Tensor Flow PyTorch Scikit-Learn Keras Tableau Microsoft Azure ML Studio

Experience

🚀 Projects Portfolio