Data Analyst with 1+ years in SQL, Python & Power BI
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Data Analyst with hands-on experience in SQL, Python, Power BI, and Advanced Excel, specializing in dashboard development, ETL workflows, data cleaning, automation, and business intelligence reporting. Skilled in transforming complex datasets into actionable insights to drive operational efficiency and support data-driven decision-making across cross-functional teams.
Ducat Institute
Diploma · Data Analytics
August 1, 2025 – June 30, 2026
Mansarovar Global University
Bachelor of Computer Applications (BCA) · Computer Applications
June 1, 2022 – May 1, 2025
RexGalaxy Technology
Data Analyst
January 1, 2026 – Present
Delhi NCR, India
So Infotech
Data Analyst Intern
July 1, 2025 – January 1, 2026
Delhi NCR, India
Geolocation Data Extraction System
July 1, 2025 – June 1, 2026
Architected an end-to-end ETL pipeline using Python and SQL to extract, transform, and load geolocation data from 5+ heterogeneous sources into a centralized database. Wrote optimized multi-table SQL queries (JOINS, CTEs, window functions) on datasets exceeding 500K rows, reducing query execution time by 50%. Built automation scripts for data ingestion and preprocessing, eliminating 10+ hours of weekly manual effort and ensuring pipeline reliability with structured error handling. Produced clean, structured datasets that served as the single source of truth for downstream analysis and BI reporting.
Employee Performance Dashboard
July 1, 2025 – June 1, 2026
Developed a multi-page interactive Power BI dashboard tracking 10+ KPIs across departments, enabling real-time performance monitoring for 50+ employees. Engineered 15+ DAX measures and calculated columns for dynamic YTD, MOM, and department-level comparisons, improving analytical depth of existing reports. Used Power Query (M language) for data transformation and preprocessing, reducing manual data preparation time by 60%. Designed an intuitive visual layout that reduced average stakeholder report review time from 30 minutes to under 10 minutes.
Programming in Python
Meta
June 1, 2026 – Present
Foundations of Data, AI & ML
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including geolocation data extraction and employee performance dashboards, shows adaptability and a broad application of data analysis skills. Their experience in both internship and full-time roles, coupled with certifications from Meta and Google, indicates a proactive approach to learning and professional development. The focus on improving efficiency and supporting data-driven decisions aligns with a results-oriented culture. The candidate's skills and experience are well-aligned with the target role of Data Analyst.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving abilities, analytical thinking, and effective stakeholder communication, which are crucial for a Data Analyst role. Their experience in automating workflows and improving data consistency indicates an operational mindset focused on efficiency and reliability. The project descriptions highlight an ability to translate complex data into actionable insights, aligning well with business intelligence needs.