Data Scientist

Personal summary

As a passionate Data Scientist and MLOps Engineer, I thrive on turning complex data into valuable insights and building robust machine learning systems. With 4.2 years of experience in the field, I have successfully developed and deployed data-driven solutions that have contributed to business growth and efficiency. Data Science Expertise: I specialize in data analysis, machine learning, and statistical modeling. Whether it's extracting meaningful patterns from raw data, creating predictive models, or performing in-depth statistical analysis, I bring a data-driven approach to every project I undertake. MLOps Excellence: As an MLOps engineer, I ensure the seamless integration of machine learning models into production systems. I have hands-on experience in setting up continuous integration and deployment (CI/CD) pipelines using Jenkins, Docker containerization, and monitoring of ML models, enabling faster and efficient model deployment in AWS. Technical Skills: Programming Languages: Python Data Analysis: Pandas, NumPy, SQL Machine Learning: Scikit-learn, TensorFlow Artificial Intelligence: Neural Networks, NLP MLOps: Docker, Jenkins, Git Data Visualization: Matplotlib, Seaborn, Tableau Cloud Deployment Platforms: AWS

Skills

Python4 Jenkins2 Machine learning3 Amazon Web Services (AWS)3 Docker3 Git4