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Data Science with 1+ years in Data Analysis & BI Development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Business analyst skilled in Microsoft Excel (Advanced), Google Sheets, Power BI, and PostgreSQL for advanced data analysis, visualization, forecasting, and dashboard development. Experienced in SQL and Python (Pandas, NumPy, SQLAlchemy) for ETL, data wrangling, and statistical analysis. Capable of designing business solutions through customer segmentation, RFM analysis, and cohort analysis. Proficient in building AI automation systems with AI agents in various cloud platforms such as n8n. Strong communication and leadership skills to drive data-driven decision-making.
Cultural Fit Analysis
The candidate's projects demonstrate a focus on business intelligence and data analysis, which aligns with a Data Science role, particularly in the analytical and visualization aspects. The extracurricular activities show community involvement and leadership, suggesting a collaborative mindset. However, the projects are primarily dashboard and reporting focused, which might indicate a stronger fit for a Business Intelligence Analyst role rather than a pure Data Scientist role that typically involves more advanced statistical modeling, machine learning, and predictive analytics. The breadth of skills is good for BI, but less so for advanced DS.
Soft Skills & Operational Fit
The candidate lists problem-solving, analytical thinking, communication, leadership, and strategic planning as soft skills. The project descriptions indicate an ability to work on end-to-end analytical solutions and contribute to data-driven decision-making. However, without specific psychometric or English test results, the actual proficiency in these areas cannot be fully assessed.