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Data Analyst with 4+ years in Python, SQL, and Power BI across large-scale datasets.
Results-driven Data Analyst with hands-on experience in Python, SQL, and Power BI, delivering end-to-end analytical pipelines from data ingestion to executive-grade dashboards and KPI reports. Skilled in EDA, statistical hypothesis testing, predictive modeling, ETL pipeline development, A/B testing, and data quality frameworks across large-scale datasets (145K+ records). Proven ability to translate complex data into actionable business insights that directly influence product roadmaps, reduce operational friction, and drive measurable outcomes. Adept at collaborating with cross-functional teams including Product, Operations, and Engineering.
Garden City University
Master of Computer Applications (MCA)
August 1, 2023 – June 30, 2025
Vysya College
Bachelor of Computer Applications (BCA)
August 1, 2020 – June 30, 2023
Paytm
Data Analyst - Analytics & Product Insights
January 1, 2023 – Present
Bengaluru, Karnataka, India
Snapcast Solutions Pvt Ltd
Data Analyst Intern
January 1, 2022 – January 1, 2023
Bengaluru, Karnataka, India
Global AI Adoption Analysis
January 1, 2023 – December 31, 2024
Collected, cleaned, and statistically validated a 145,000+ record dataset tracking global AI adoption across industries and demographics, ensuring zero-null data integrity before EDA and predictive modelling. Surfaced strategic insights revealing Agriculture as the top adopting sector and the 55+ demographic as the fastest-growing user segment; performed A/B-style benchmarking of ChatGPT vs. Claude across 2023-2024 adoption curves and delivered findings as an executive-ready insight report with KPI-driven product recommendations.
Cultural Fit Analysis
The candidate's experience at Paytm, a prominent fintech company, and their internship at Snapcast Solutions, along with a personal project on AI adoption, demonstrate a diverse range of analytical applications. Their work involves direct impact on product roadmaps and operational decisions, aligning well with a results-oriented culture. The breadth of skills across data analysis, machine learning, and business intelligence tools indicates adaptability and a continuous learning mindset. The candidate's academic background (MCA, BCA) further supports a strong foundation for a data-driven environment.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their project work, particularly in identifying and addressing friction points for merchants. Their experience in collaborating with cross-functional teams (Product, Engineering, Operations) indicates good teamwork and communication. The ability to reduce manual reporting effort by ~70% and enable real-time KPI monitoring highlights efficiency and a results-driven approach. The candidate's focus on data governance and reproducible workflows suggests an organized and detail-oriented operational fit.