Kemas Farosi

Cultural Fit Analysis

The candidate's diverse project portfolio, spanning e-commerce, FMCG, and IoT, demonstrates adaptability and a broad interest in applying data science across various domains. The focus on developing in-house solutions and leading product initiatives suggests an innovative and proactive approach, which aligns well with cultures that value self-starters and continuous improvement. However, the target role is 'Data Analyst', while the candidate's experience is heavily skewed towards 'Data Scientist' and 'Machine Learning Engineer' roles. This might indicate a potential mismatch in the expected day-to-day responsibilities, as a Data Analyst role typically involves more descriptive analytics, reporting, and dashboarding, rather than end-to-end ML product development. While the candidate has experience in descriptive analytics, the primary focus has been on advanced ML/AI. This could lead to overqualification or a desire for more advanced technical work than a typical Data Analyst role might offer.