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Data Analyst with 1+ years in SQL, Power BI & Python
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 professional with 1.8 years of experience in data reporting, operations, and cross-functional collaboration. Skilled in SQL, Power BI, and Python for data analysis, reporting, and dashboard development. Experienced in transforming raw data into actionable insights to support business decision-making and improve operational efficiency. Seeking a Data Analyst role to apply analytical and problem-solving skills to drive business growth.
Bankatlal Badruka College for Information Technology, Hyderabad
Master of Science · Computer Science
December 1, 2021 – October 1, 2023
Avanthi Degree and PG College, Hyderabad
Bachelor of Science · Mathematics, Physics & Computer Science (MPCS)
June 1, 2018 – September 1, 2021
AI - Data Quality Analyst
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India
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Analyzed 49,200 Stack Overflow Developer Survey responses using PostgreSQL to identify key compensation drivers across experience levels, technology stacks, databases, and platforms. Utilized CTEs, STRING_TO_ARRAY(), UNNEST(), and PERCENTILE_CONT() to transform multi-select survey data and perform median salary and technology trend analysis.
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Built a 5-page interactive Power BI dashboard analyzing 76,101 Spotify tracks across 114 genres with 66 DAX measures, slicers, and KPI cards to uncover music streaming trends. Analyzed track popularity, artist dominance, genre performance, and audio features to identify what makes a track go viral on the platform.
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April 1, 2026 – April 1, 2026
Developed an interactive dashboard analyzing 4,000 project records across 6 categories ($4.57B portfolio) using Pivot Tables, Charts, KPI cards, and Slicers. Identified 12 key business issues and derived 5 actionable insights, including a 94.57% budget utilization risk, enabling data-driven decision-making.
View ProjectSQL for Data Analysis
Simplilearn
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AI - Data Quality Analyst
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Cultural Fit Analysis
The candidate's project diversity, including analyses of developer surveys, Spotify trends, and project management, indicates a broad interest in applying data analysis across different domains. The combination of academic background, certifications, and practical projects aligns well with a data-driven culture. The trainee experience in AI/ML also shows a proactive approach to skill development, which is a positive cultural indicator. However, the limited professional experience (internship and operations executive) suggests a need for further development in a dedicated data analyst role to fully integrate into a data-centric team.
Soft Skills & Operational Fit
The candidate demonstrates strong organizational skills through managing operational reporting and ensuring SLA adherence. Their experience in coordinating stakeholder communications and documenting processes suggests good communication and attention to detail. The ability to identify business issues and derive actionable insights indicates problem-solving and analytical thinking. The trainee role in AI-Data Quality Analyst also suggests an aptitude for learning and applying new technologies.