Full Stack Engineer with 1+ years in Data Science & Analytics
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Assessing your cultural and operational fit
Data professional with a Full Stack development background, actively building expertise in Data Science and Analytics. Backed by a strong technical foundation in Python (Pandas, NumPy, Matplotlib, Seaborn), Advanced SQL (CTES, Window Functions, Subqueries), and Power BI, with hands-on project experience across Finance and Healthcare domains. Skilled in exploratory data analysis, statistical analysis, KPI reporting, and predictive modelling - seeking a Data Analyst or Data Scientist role to drive data-driven decisions.
Cultural Fit Analysis
The candidate's project experience spans finance (NSE Stock Market Analytics System) and healthcare (Healthcare Management Analytics System), demonstrating versatility and an ability to apply technical skills across different domains. The stated target role is 'Full Stack Engineer', which aligns well with the 'Full Stack Developer' experience. However, the professional summary also mentions seeking a 'Data Analyst or Data Scientist' role, which introduces some ambiguity regarding primary career focus. The breadth of skills in both full-stack development and data analytics suggests adaptability.
Soft Skills & Operational Fit
The resume indicates experience in cross-functional collaboration to improve UX and working with Agile workflows, suggesting an ability to work in team environments and adapt to development methodologies. However, without specific psychometric or English test results, a comprehensive assessment of soft skills and operational fit is limited.