Shreejith P. Email & Phone Number

Completed hands-on practical tasks covering essential aspects of Identity and Access Management (IAM) as part of the TATA Cybersecurity Analyst Job Simulation. This experience encompassed mastering IAM fundamentals, conducting thorough IAM strategy assessments, and developing tailored IAM solutions designed to fit organizational needs. Additionally, I managed platform integration tasks, ensuring seamless IAM deployment across various systems, enhancing both security and user accessibility. This comprehensive skill set in IAM reflects a solid foundation in securing identities, managing access, and strategizing for secure platform integration.

Completed a job simulation where I served as an analyst on Mastercard’s Security Awareness TeamHelped identify and report security threats such as phishingAnalyzed and identified which areas of the business needed more robust security training and implemented training courses and procedures for those teams.

As a intern I have learned about Information Security, Practical guidance on an ICO Dawn Raid (information commissioner’s Office) and I was able to assess a legal situation after a data leak and necessary steps to be taken.I also learnt about the General Data Protection Regulation (GDPR), it’s Controller, it’s Processor, how to respond to a data-related damages claim and the consequences for those that do not comply to the regulation.

Indore, Madhya Pradesh, India

As a Python Data Science Intern at Revedor, I leveraged cutting-edge data analytics and machine learning techniques to drive insights and innovation. I worked with a range of data sources, from structured databases to unstructured text and image data, using Python libraries such as Pandas, NumPy, and Scikit-learn to clean, transform, and analyze the data. I also developed and trained machine learning models using techniques such as regression, classification, and clustering. Throughout my internship, I collaborated closely with experienced data scientists to develop my skills in data wrangling, statistical analysis, and machine learning. By the end of my internship, I had gained a solid foundation in Python data science and was able to make meaningful contributions to the projects I worked on.