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AI Engineer with less than a year in Data Analysis & Visualization
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented MSc Mathematics graduate with strong analytical and problem-solving skills. Proficient in Excel, SQL, Python, Power BI, and Tableau for data analysis, reporting, dashboard creation, and visualization. Experienced in working with datasets and generating insights through academic projects. Seeking opportunities in Data Analytics and Reporting roles.
University of Calicut
Master of Science · Mathematics
August 1, 2023 – June 30, 2025
University of Calicut
Bachelor of Science · Mathematics
August 1, 2020 – June 30, 2023
Zecser Business LLP
AI Developer Intern
April 1, 2026 – Present
India
Student Migration Dashboard
June 27, 2026 – Present
Designed and developed an interactive dashboard to track student migration trends. Utilized pivot tables, slicers, and dynamic charts for real-time data analysis.
Sales Data Analysis Dashboard
June 27, 2026 – Present
Cleaned and transformed raw sales data using Power Query. Created interactive dashboards with KPIs, trends, and filters. Used DAX measures for total sales, growth rate, and averages.
Integrated Data Analytics and Business Analytics Course
Unknown
March 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show an interest in data analysis and reporting. The 'AI Developer Intern' role, while current, lacks description, making it difficult to assess its alignment with the target AI Engineer role. The overall profile suggests a foundational interest in data-driven roles, which could align with an AI engineering culture focused on data, but the depth of AI-specific experience is limited.
Soft Skills & Operational Fit
The candidate lists communication, adaptability, time management, problem-solving, willingness to learn, team collaboration, and critical thinking as soft skills. These are generally positive for operational fit, but their application in a professional setting is not yet demonstrated beyond academic projects.