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Data Analyst with 3+ years in Data Analytics, BI, and AI
Results-driven Data Analyst with 3+ years of experience engineering interactive dashboards, automating ETL reporting workflows, and delivering actionable insights for US and UK enterprise clients across healthcare and insurance sectors. Expert across the full analytics lifecycle – from authoring advanced SQL (CTES, window functions, stored procedures) against MySQL and Snowflake databases, to performing data visualisation and statistical analysis with Python (Pandas, NumPy, Matplotlib, Seaborn, Jupyter Notebook), to publishing stakeholder-ready Power BI reports with automated scheduling via Power BI Service. Applied data modelling best practices to build scalable star-schema solutions. Integrates Microsoft Copilot in Power BI and Generative AI into daily analytics workflows to accelerate insight delivery. Microsoft Certified: PL-300 Power BI Data Analyst Associate.
Lovely Professional University, Delhi
Master of Computer Applications (MCA) · Business Intelligence & Data Analysis
August 1, 2022 – June 30, 2024
Asansol Engineering College, Asansol
Bachelor of Computer Applications (BCA) · Programming & Databases
August 1, 2019 – June 30, 2022
Cognizant Technology Solutions
Data Analyst
September 1, 2022 – Present
Bengaluru, Karnataka, India
PL-300 Power BI Data Analyst Associate
Microsoft
September 1, 2022 – Present
Cultural Fit Analysis
The candidate's experience across diverse domains (US Healthcare, UK Insurance) and their proactive approach to integrating new technologies (Generative AI, Copilot) suggest a strong cultural fit for an innovative and dynamic environment. Their focus on measurable impact (e.g., ~42% reduction in reporting effort, ~30% cut in ad-hoc requests) indicates a results-oriented mindset. The breadth of skills, from SQL and Python to Power BI and data warehousing, demonstrates a versatile and adaptable professional.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through the implementation of data quality frameworks and automation solutions. Their experience in leading requirements-gathering sessions and collaborating with clinical stakeholders indicates strong communication and teamwork abilities. The focus on reducing manual effort and improving efficiency aligns well with operational excellence. The candidate's ability to work with both US healthcare and UK insurance clients showcases adaptability and client-facing skills.