◦Managed data ingestion processes, ensuring seamless dataflow and integration.◦ Gained high-level understanding and practical experience with GitLab for version control and CI/CD pipelines.◦ Played a key role in a major DBT (Data Build Tool) migration project, contributing to the modernization of data workflows,which improved processing speed by 25%.◦ Created and automated over 30 SQL and Python scripts for DBT validation, improving efficiency of data processes.◦… Show more ◦Managed data ingestion processes, ensuring seamless dataflow and integration.◦ Gained high-level understanding and practical experience with GitLab for version control and CI/CD pipelines.◦ Played a key role in a major DBT (Data Build Tool) migration project, contributing to the modernization of data workflows,which improved processing speed by 25%.◦ Created and automated over 30 SQL and Python scripts for DBT validation, improving efficiency of data processes.◦ Collaborated with Testing and RPA teams to validate DBT processes, enhancing data reliability by 15%. Show less

Attained 97.2% accuracy in image classification projects, showcasing strong model development skills. Developed a custom image-to-image translation model, delivering exceptional results without additional training. Contributed innovative solutions, enhancing the team's technical capabilities.Collaborated seamlessly to integrate data science solutions into existing workflows.Engaged in effective problem-solving, optimizing algorithmic performance.

Conducted in-depth analysis of user behavior within the application, identifying patterns in the data and proposing strategies to enhance app traffic.Successfully developed and deployed an infant cry classifier and pain predictor, achieving an accuracy rate of 88.2%, demonstrating proficiency in predictive modeling and machine learning.Initiated the developement of an AI-based Q&A bot tailored for pregnant women, showcasing a strategic blend of natural language processing and… Show more Conducted in-depth analysis of user behavior within the application, identifying patterns in the data and proposing strategies to enhance app traffic.Successfully developed and deployed an infant cry classifier and pain predictor, achieving an accuracy rate of 88.2%, demonstrating proficiency in predictive modeling and machine learning.Initiated the developement of an AI-based Q&A bot tailored for pregnant women, showcasing a strategic blend of natural language processing and user-centric design principles. Show less

-Handled their social media pages, created posts, got better in working with editing tools-Helped them by building a small tool to filter resumes using python, ML and NLP.