• Monitoring end-to-end ETL pipelines important in extracting, transforming, and loading data from various sources to provide valuable insights to our customers. • Handle the ETL process efficiently to ensure the data is processed accurately and available for timely analysis.• Integrate data from different sources and systems, including databases, APIs, and third-party services, to provide a unified view.• Tuning and optimizing database systems and data processing workflows to improve data processing speed and overall system performance.

• Worked on an exciting project and created a Transfer Learning model for genotype prediction.• Utilized Transfer Learning with Google's Deep Variant model for genotype prediction, improving efficiency and accuracy.• Created Python scripts for existing projects to streamline data processing, saving time and enabling focus on higher-value tasks.

• Worked on Optical Character Recognition (OCR) projects, implementing an existing Python wrapper to incorporate OCR functionality into the projects. • Ensured to extract text from images and scanned documents, enhancing data accessibility and opening up new possibilities for automating data entry and analysis.

• Worked on a speech-to-text model using Convolutional Neural Network (CNN) to convert speech input into text output, primarily for single-word occurrences. • Handled the sequential nature of speech data and achieved impressive accuracy in transcribing individual words.• Contributed to developing of the speech-to-text model, leveraged understanding of machine learning concepts and implemented efficient algorithms to handle the specific task.