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Data Analyst with 2+ years in data analysis & decision-making.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I work at the intersection of data and decisions. Across financial services, management advisory, and FMCG analytics, I have built one core capability: taking complex, high-volume data and translating it into something a stakeholder can act on immediately. My edge is not just technical - it is knowing which question to answer, how to pressure-test the numbers, and how to communicate findings to both technical and non-technical audiences without losing the insight in translation.
BITS Pilani
M.Sc. · Data Science & Artificial Intelligence
August 1, 2024 – June 30, 2028
NIIT University
Integrated MBA · Analytics, Research
August 1, 2020 – June 30, 2024
ICICI Lombard General Insurance
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April 1, 2025 – Present
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Microsoft Certified: Power BI Data Analyst Associate
Microsoft
January 1, 2025 – Present
SAS Programming 1: Essentials
SAS Institute
June 1, 2023 – Present
SAS Visual Analytics 2 for SAS Viya: Advanced (8.5)
SAS Institute
June 1, 2023 – Present
R for Data Science
CognitiveClass.AI
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's diverse experience across multiple industries (insurance, advisory, FMCG, e-commerce) and various types of organizations (large corporation, advisory firm, startups) suggests adaptability and a broad perspective. Their continuous pursuit of certifications and higher education (M.Sc. in Data Science & AI) indicates a strong growth mindset and commitment to learning, which aligns well with a dynamic, data-driven culture. The focus on process improvement and delivering tangible business impact also points to a results-oriented cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates strong communication skills through their ability to translate complex data into actionable insights for both technical and non-technical stakeholders. Their experience in cross-functional collaboration, stakeholder management, and requirements gathering indicates a good operational fit. The resume highlights proactive problem-solving (surfacing risk, eliminating errors) and a focus on delivering decision-ready outputs under tight deadlines, which are critical for a senior data analyst role.