Akshay Chaudhari

Role involves analyzing large datasets using statistical techniques and machine learning to solve complex business problems. It includes deploying ML models into production environments and integrating them into existing systems, ensuring scalability and reliability. The professional designs end-to-end data pipelines, automates workflows, and monitors model performance, optimizing over time. Collaboration with cross-functional teams to understand business requirements and deliver data-driven solutions.

Role involves processing, cleaning, and verifying data, ensuring completeness and organization for usability. It includes generating reports and analyzing business problems. Extensive use of Python libraries such as Numpy, scikit-learn, Pandas, matplotlib, and seaborn is required. Proficiency in various algorithms like Decision Trees, KMeans, XGBoost, Logistic Regression, SVM, Naive Bayes, Clustering, KNN, and LightGBM is essential. Create Proof of Concepts (POCs) and scale them into production-ready code.

The responsibilities include designing, executing, and reporting on tests, managing defects, collaborating with project stakeholders, organizing test plans, prioritizing testing activities, and utilizing automation tools for efficient testing processes.