Associate Analyst

My Journey began with building a strong foundation in computer science, where I developed an interest in understanding how systems process data and make decisions. I started with programming in C++. As I progressed, I became curious about how intelligent systems like AI models are trained and evaluated. This led me to explore concepts related to data analytics, machine learning basics, and the importance of high quality data in building relatable models. This journey has been a continuous learning process where I have adapted to new domains beyond core development.

I came across this opportunity while actively exploring roles related to data analysis and AI-based evaluation on job portals and company career pages. The role aligned with my technical background and interest in working with data-driven systems, so I applied through the official application channel. After submitting my application, I was shortlisted and contacted by the recruitment team for the next steps. The process was smooth and well-structured, starting with an initial screening followed by an interview focused on assessing my analytical thinking, attention to detail, and technical understanding. Overall, the application journey was a valuable experience that helped me understand industry expectations for roles involving human-in-the-loop evaluation and AI systems. It also gave me insights into areas where I can further improve and strengthen my skill set.

I believe the rejection was mainly due to my limited hands-on experience in AI evaluation tasks such as data labelling, bias detection, and human-in-the-loop systems, which were key requirements for the role. While I have a strong technical background in backend development, this role required more domain-specific exposure. This experience helped me understand the importance of aligning my preparation with the job requirements. It also motivated me to start learning more about data annotation, model evaluation, and improving my analytical and decision-making skills to be better prepared for similar roles in the future.