Swati is a Data Scientist at Akridata, a company that provides data management solutions for AI applications. She has a Bachelor of Technology degree in Computer Science. At Akridata, she conducts various experiments to validate the results of cutting-edge technologies in computer vision segments, such as clustering, image featurization, and explainable AI. She also finds the best image preprocessor for various use cases and validates experiments on newer implementations for production. She also has developed statistical models for various predictive methods, such as classification, regression, and clustering. She also generated actionable insights from data and created presentations and dashboards to make recommendations for improvements. She developed an end-to-end machine learning pipeline using Python, Pandas, Numpy, SQL, NoSQL, Plotly, MLOps, and CICD. Swati is skilled in data science, machine learning, deep learning, computer vision, and MLOps. She is proficient in Python, SQL, NoSQL, and Plotly, a data visualization tool that she uses to create interactive and engaging charts and graphs. She is passionate about solving complex problems with data and delivering value to customers and stakeholders.