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Data Analyst with 1+ years in Supply Chain & Data Analysis
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-oriented Data Analyst with a B.E. in Computer Engineering (Specialization in Data Science) and 1.0 years of experience in supply chain operations, data analysis, and project management. Skilled in SQL, Python, Power BI, and Excel, with a strong background in optimizing logistics, managing inventory, and improving business efficiency through data-driven insights. Proven ability to build vendor/customer relationships and streamline operations in dynamic environments.
Cultural Fit Analysis
The candidate's projects and experience are heavily focused on agriculture and supply chain, indicating a strong interest and potential fit for roles within these sectors. The 'Creative Team Head' and 'Technical Team Head' certifications suggest leadership potential and a willingness to take on responsibility. However, the overall breadth of project diversity outside of agriculture/supply chain is limited, which might impact fit for roles requiring broader industry exposure. The experience level is quite junior, which might require a team that can provide mentorship and growth opportunities.
Soft Skills & Operational Fit
The candidate's experience in coordinating with farmers, transporters, and vendors, along with building customer relationships, suggests good communication and negotiation skills. Project work indicates an ability to identify operational challenges and propose solutions, which aligns with problem-solving aspects of a Data Analyst role. However, the resume does not provide explicit details on stress handling or team collaboration beyond 'Creative Team Head' roles, which are not elaborated.