Bengaluru, Karnataka, India
I am a skilled Python developer and data analyst with a passion for using technology to build innovative solutions that drive business growth. At Infosys, I have developed back-end website applications and programmed new automated components using Python. I have experience in writing code for functional enhancement, testing, debugging, and tool migration. As a data analyst, I have built an internal visualization platform for a client to view and compare historical data from different platforms. I have also created multiple automated analysis Python scripts to reduce the time and effort required for priority tasks. In addition to my technical expertise, I have experience in team management, including interviewing, hiring, and training multiple Python profiles. My technical skills extend beyond Python development to databases such as SQL, MySQL, and Oracle, operating systems such as Windows 11 and Linux, and frameworks such as Selenium and Django. I am proficient in using tools such as Jira, Github, Snowflake, PyCharm, Jupyter Notebook, QT Designer, ContractExpress, and Ironclad. As a professional, I am committed to continuous learning and development. I am always looking for new ways to improve my skills and stay up-to-date with the latest industry trends and technologies. I have also contributed to online forums and blogs, sharing my insights on Python development, data analysis, and team management. In my next role, I am looking for a challenging opportunity to leverage my technical expertise and leadership skills to make a meaningful contribution to the organization. I am excited about the prospect of working with a team of like-minded professionals who are passionate about innovation and growth. If you are looking for a skilled Python developer and data analyst, I would be honored to connect with you and explore how we can work together to drive success.
Python Developer and Data Analyst at Tata Consultancy Services (Jan 2020 - Present) Develop back-end website applications, programming automated components, and use Python libraries such as Pandas and Numpy to analyze and summarize data. Build an internal visualization platform for a client to view and compare historical data from different platforms, resulting in better decision-making and improved business outcomes. Create multiple automated analysis Python scripts in order to reduce the time and effort required for a priority task. Use ML algorithms such as K-means, Pandas, and Numpy to analyze data and prepare proper summarization. Work with databases such as SQL, MySQL, and Oracle to query, manage, and analyze data. Lead technical projects and communicate with stakeholders at all levels of an organization. Interview, hire, and train multiple Python profiles, ensuring that the team is equipped with the right skills and knowledge to deliver high-quality solutions.