Data Analyst with 1+ years in SQL & Power BI
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Assessing your cultural and operational fit
Aspiring Data Analyst skilled in SQL, Power BI, Excel, and Python, with hands-on experience building KPI dashboards, cleaning and validating datasets, and turning raw data into actionable business insights. Completed self-directed data analytics upskilling (2024–2026), building multiple end-to-end analytics projects covering sales performance and insurance claims analysis. Combines a strong analytical foundation from an Electronics & Communication Engineering degree with practical, project-based data analysis experience.
Dr. A. P. J. Abdul Kalam Technical University, Lucknow
Bachelor of Technology · Electronics and Communication Engineering
August 1, 2020 – June 30, 2024
Simpkins School, Agra
Senior Secondary (Class XII) · CBSE
June 1, 2018 – May 31, 2020
Ampersand Gosperty Private Limited
Product Development Intern
November 1, 2023 – November 1, 2024
Delhi, Delhi, India
Sales Data Analysis & Performance Insights Dashboard
January 1, 2024 – Present
Cleaned and transformed raw sales data using SQL and Power Query to ensure accurate KPI calculations Analyzed sales data totaling ₹142M in revenue across multiple markets using SQL and Power BI Built interactive Power BI dashboards covering sales overview, profit analysis, and performance insights Identified low-profit markets and high-revenue customers impacting overall business profitability
Insurance Claims & Policy Analysis Dashboard
January 1, 2024 – Present
Built an interactive dashboard to analyze insurance policy performance and claim trends Calculated key KPIs including claim approval rate and loss ratio Identified high-risk policy categories and claim rejection patterns to support underwriting decisions Provided actionable insights to improve claims-related decision-making
Cultural Fit Analysis
The candidate's projects demonstrate initiative in self-directed learning and application of data analytics skills, which aligns with a proactive and growth-oriented culture. The internship experience shows exposure to a structured work environment. However, the projects are personal, and the internship is not directly in a data analyst role, limiting the assessment of cultural fit in a dedicated data team.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate raw data into business insights, suggesting strong analytical and problem-solving skills. The internship experience highlights attention to detail in data collection and validation, which is crucial for operational fit in a data-centric role. However, direct evidence of collaboration or stress handling is not explicitly provided in the given data.