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Data Analyst with less than a year in SQL & Python
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 and analytical Data Analyst with hands-on experience in SQL, PostgreSQL, Python, Excel, Power BI, and Tableau. Skilled in data cleaning, exploratory data analysis (EDA), KPI reporting, dashboard development, and advanced SQL querying using CTEs, Window Functions, Aggregate Functions, and data transformation techniques. Experienced in analyzing structured datasets, generating actionable insights, and supporting data-driven business decision-making through business intelligence and visualization solutions.
Cultural Fit Analysis
The candidate's projects demonstrate a focus on diverse domains including entertainment (Netflix), sports (T20 World Cup), e-commerce, and finance (Adani Stock Analysis), indicating adaptability and a broad interest in applying data analysis across different industries. The target role is 'Data Analyst', which aligns well with the candidate's stated skills and project experience. However, the candidate's experience level is listed as 0, and the current role is an AI & ML Intern, which might suggest a slight mismatch in immediate practical experience for a senior Data Analyst role without further validation.
Soft Skills & Operational Fit
The candidate's resume highlights communication, collaboration, problem-solving, and presentation skills. The project descriptions indicate an ability to translate data into actionable insights and present them through dashboards, which aligns with operational needs for data-driven decision-making. However, without specific assessment data for these soft skills, a definitive operational fit cannot be fully determined.