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Data Analyst with 2+ years in SQL, Power BI & Data Validation
Data-driven BI Analyst with expertise in SQL (CTEs, joins, window functions), Power BI (DAX, data modelling), and data validation. Experienced in extracting, transforming, and analyzing 50K+ records; built interactive dashboards. Familiar with Snowflake concepts (data modelling, query optimization) and optimized SQL queries for performance. Strong stakeholder communication and ownership of data accuracy across sources.
Kakatiya University College of Engineering and Technology
B.Tech · Mechanical Engineering
August 1, 2019 – June 30, 2023
Timing Technologies India Pvt Ltd
Data Analyst Trainee
July 1, 2024 – Present
Hyderābād, Telangana, India
Government Recruitment Data Validation & Reporting System
June 17, 2026 – Present
Processed and validated 50,000+ candidate and event records collected from government recruitment activities. Wrote SQL queries using Joins, CTEs, Aggregate Functions, and Window Functions to extract, compare, and verify recruitment data. Performed data quality checks across 5+ datasets to identify duplicate records, missing values, and data inconsistencies. Identified and resolved 25+ critical data discrepancies before final result processing and report generation. Generated summary reports and formatted datasets in Excel using Pivot Tables, Lookup Functions, and data validation techniques for stakeholder reporting. Supported result verification activities by reconciling data from multiple sources and ensuring consistency in candidate records. Created reusable SQL scripts and validation procedures to improve efficiency and maintain reporting consistency across recruitment events. Collaborated with operations and technical teams during recruitment events to ensure accurate data processing and timely report delivery.
Cultural Fit Analysis
The candidate's experience with government recruitment data suggests an ability to work with sensitive and structured data environments. The focus on data validation and reporting aligns well with roles requiring meticulous attention to detail and adherence to data governance. The breadth of skills (SQL, Python, Power BI, Excel) indicates adaptability and a willingness to learn diverse tools, which is positive for cultural fit in dynamic data teams. However, the limited project diversity (one main project) means there's less evidence of adaptability across different industry contexts.
Soft Skills & Operational Fit
The candidate demonstrates an understanding of data accuracy and stakeholder communication, as evidenced by their project descriptions and professional summary. Their experience in collaborating with operations and technical teams suggests a capacity for teamwork. The documentation of data quality findings indicates an organized approach to problem-solving and process improvement.