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Data with less than a year in Python, SQL, and 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
Data Analyst skilled in Python, SQL, Power BI, and Excel with hands-on experience building interactive dashboards, KPI reports, and end-to-end analytics solutions. Proficient in data cleaning, ETL workflows, exploratory data analysis (EDA), and transforming complex datasets into actionable business insights. Experienced in analyzing large datasets and transforming complex data into actionable business insights to support data-driven decision-making.
Chandigarh University
Bachelor of Engineering
August 1, 2020 – June 30, 2024
Q Spiders
Data Analytics Intern
June 1, 2025 – May 1, 2026
Noida, Uttar Pradesh, India
Cynox Security LLP
Security Analyst Trainee
July 1, 2024 – January 1, 2025
India
Sales Performance Dashboard & Analysis
June 1, 2026 – Present
• Analyzed 5k+ sales orders to identify revenue trends, profitability drivers, and regional performance. • Built a Power BI dashboard with KPI tracking and interactive business analytics. • Identified an 8.5% return rate and discount-related profit margin impacts.
Customer Churn Analysis
June 1, 2026 – Present
• Analyzed 7k+ customer records to identify key churn drivers and retention opportunities • Performed EDA and customer segmentation using Python and SQL. • Built a Power BI dashboard to monitor churn metrics and customer behavior.
Bank Loan Analysis Dashboard
June 1, 2026 – Present
• Analyzed 38K+ loan records using SQL and Power BI to assess lending performance and portfolio health. • Developed an interactive dashboard tracking loan KPIs, repayments, interest rates, and DTI metrics. • Performed loan risk segmentation and MTD/MoM trend analysis for data-driven decision-making.
AWS Certified Cloud Practitioner
AWS
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity (loan analysis, sales performance, customer churn) and internship experiences (Data Analytics, Security Analyst) show a broad interest in applying data skills across different domains. The listed skills align well with a Data Analyst role, indicating a focused career path. The AWS certification suggests a proactive approach to skill development, which is a positive cultural indicator. However, the experience level is entry-level, which might require more mentorship in a senior-level team.
Soft Skills & Operational Fit
The candidate demonstrates an analytical mindset through project descriptions and internship roles. The ability to identify trends, perform risk segmentation, and create KPI reports suggests a detail-oriented and problem-solving approach. The personal projects indicate initiative and a drive to apply learned skills. However, without specific psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is not possible.