Kiran Gowda K N

• I bring extensive hands on experience in both Machine Learning (ML) models and AWS services, combining these skill sets to support for development and deployment of ML models on the AWS cloud infrastructure.
• I engineered a natural language processing solution utilizing AWS SageMaker, achieving a improvement in sentiment analysis accuracy through model optimization. My experience extends to leveraging AWS services such as S3 for data storage and Ground Truth Tool for building highly accurate training datasets.
• I also bring extensive hands-on experience to craft dynamic and user-centric web solutions and have successfully designed and implemented responsive and visually appealing webpages deploying in Amazon Mechanical Turk.
• With this I have experience in automating the generation and distribution of daily productivity reports via email. Using Python alongside data manipulation libraries such as Pandas and email libraries like smtplib and frameworks like Selenium to scrape the data from web.
• My primary contribution is significantly enhancing ML model efficacy by providing tailored manual intervention and expert support.
• As a team leader, I prioritize fostering a collaborative environment, delegating tasks effectively, and aligning team efforts with organizational goals.
• My approach involves clear communication, setting achievable targets, and providing guidance to team members to drive productivity and achieve successful outcomes.

PROJECTS:

• Web Development: Created user friendly UIs and deployed in Mechanical Turk resulting in businesses to outsource multiple processes.
• Web Scraping: Created macro to automate testing process to prevent the manual data validation across multiple tools resulting in time saving.

• I adeptly managed product data and information, ensuring accuracy, consistency, and completeness across catalog.
• Involved in collaborating with cross-functional teams to gather and validate product information.
• Contributed to enhancing the user experience by enriching product descriptions, titles, optimizing search functionalities.
• With this I do possess hands-on experience in writing SQL queries, have successfully retrieved and transformed data sets, navigating database management systems to extract, manipulate, and analyze data.

• Providing successful resolution over 50 calls/cases by employees per day.
• Good experience in ticketing and other tools to communicate with stake holder for all their employment resource cases.
• Managed multiple tasks, such as payroll, benefits administration, and employee records.