Detail-oriented Data Analyst with 1+ years of experience in managing, validating, and analysing large datasets to deliver accurate financial and operational insights. Proficient in Advanced Excel (Pivot Tables, VLOOKUP, Conditional Formatting, Dynamic Dashboards), SQL, and Power BI.
Innodata Inc.
Remote, India
Validated and quality-assured large-scale structured and unstructured datasets (text, image, audio, video), achieving 98%+ accuracy across all project KPIs.
Conducted systematic error analysis and root cause reviews, identifying data inconsistencies and implementing corrective measures — directly analogous to data quality and QA workflows in analytics roles.
Applied metadata tagging, bounding annotations, and sentiment classification frameworks; ensured dataset consistency for downstream model training and analytics pipelines.
Collaborated with global cross-functional teams, adapting to shifting data requirements and strict governance protocols.
KultureHire
Remote, India
Performed in-depth data analysis using Excel (pivot tables, VLOOKUP, filters) and Google Sheets to support strategic business decisions.
Collaborated with cross-functional teams to gather, standardise, and validate data aligned with reporting objectives.
Refined client-facing dashboards and delivered data-driven presentations improving senior management's understanding of key business metrics.
Bachelor of Computer Applications (BCA)
Masters of Computer Applications (MCA)
Revenue Generation: Analyzed transaction data using PostgreSQL, identifying spending patterns that contributed to generating $55M in revenue, with detailed breakdowns by customer segment.
Expenditure Analysis: Identified top spending categories, such as bills, entertainment, and fuel, including $14M in bill payments, providing targeted insights for optimizing product offerings.
Data Cleaning & Visualization: Used Python and SQL for data cleaning, in-depth analysis, and dynamic visualization, ensuring robust and accurate insights.
Comprehensive Reporting: Created detailed reports highlighting key insights and providing strategic recommendations to enhance customer engagement and mitigate fraud risks
Led a research project to understand the career aspirations and motivations of Generation Z.
Analyzed survey data from over 350 respondents and developed a user-friendly dashboard; insights are now utilized by cross-functional teams to improve customer engagement initiatives and service delivery.
Developed strategic recommendations for educational institutions and employers to effectively engage and support Generation Z.
Built interactive Power BI dashboards for real-time sales tracking; regional and demographic analysis improved revenue model insights.
Developed sales forecasts reducing stockout risk by 18%; identified growth opportunities expanding market penetration insights by 12%.
Microsoft & LinkedIn Learning
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Google / Coursera
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Simplilearn
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LinkedIn Learning
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