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Data Analyst with less than a year in Python, SQL & Power BI
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 Data Analyst professional with a strong academic foundation in computer applications and analytics. Skilled in Python, SQL, Power BI, Excel techniques. Experienced in data analysis, visualization modeling through academic projects. Motivated to deliver data-driven business insights.
School of Management Sciences, Lucknow
Bachelor of Computer Applications (BCA) · Computer Applications
N/A – June 30, 2021
St. Joseph Inter College, Lucknow
High School (10th Standard)
N/A – May 31, 2015
Babu Banarasi Das University
Master of Computer Applications (MCA) · Computer Applications
N/A – June 30, 2024
St. Joseph Inter College, Lucknow
Intermediate (12th Standard)
N/A – May 31, 2017
E-Commerce Sales Dashboard
June 24, 2026 – Present
Built interactive dashboards for online sales analysis Joined multiple tables and created calculated measures
Customer Churn Prediction
June 24, 2026 – Present
Built logistic regression model for churn prediction Performed EDA, preprocessing, and data visualization
C Programming
UPTECH
June 1, 2026 – Present
Postgraduate Programme in Data Science and Analytics
Imarticus Learning
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in practical applications of data analysis, which aligns with a results-oriented culture. The pursuit of a Postgraduate Programme in Data Science and Analytics indicates a commitment to continuous learning and professional development. The diversity of projects (dashboarding and predictive modeling) suggests adaptability. However, the lack of professional experience means cultural fit is primarily inferred from academic pursuits and listed soft skills.
Soft Skills & Operational Fit
The candidate lists 'Analytical Thinking', 'Problem Solving', 'Quick Learning', and 'Research Orientation' as professional skills. These align well with the demands of a Data Analyst role, suggesting a good operational fit for data-driven environments. However, without specific examples or interview data, the depth of these skills cannot be fully assessed.