• Applied data analysis techniques and statistical methods to extract valuable insights from complex datasets.• Developed and implemented machine learning models for predictive analytics, including regression, classification, and clustering.• Contributed to data visualization efforts using tools like Matplotlib, Seaborn to communicate findings effectively.• Keeping up to date with the latest trends and advancements in data science and machine learning through continuous learning and professional development.• Conducted exploratory data analysis (EDA) and data preprocessing to identify patterns, trends, and outliers.

• Built scalable portals using frontend frameworks, ultimately presenting high expertise in frontend development.• Worked with the design team to develop responsive, aesthetically pleasing UI components using React, further ensuring utmost usability.• Proved myself as a very good problem-solver by identifying critical bugs-one with regard to the authentication of the user and the other with regards to the payment gateway.• Scrum meetings every day about the progress and observations shared with the development team to help in prioritizing tasks.• Best practices for control using Git and GitHub were applied in collaborative development and code management• Involved in the deployment process of getting to know the cloud platforms of AWS and Docker. Ensured the projects were moved to production environments without issues.