Experience
Dec 2025 - Present
Data QA Analyst
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Worked as a Data QA Analyst at Smollan, a global retail solutions company, supporting data validation and quality assurance for business datasets
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Analyzed daily datasets (~200 rows × 15–20 columns across 5–6 retailers) using BigQuery SQL
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Validated 8–9 key business metrics and performed root cause analysis to identify discrepancies
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Improved data accuracy by 80% and reduced issue detection time by 45%
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Contributed to improving scraper performance through consistent daily data quality checks
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Collaborated with stakeholders from Google and Smollan to resolve data issues and align on requirements
Feb 2025 - Aug 2025
Trainee
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Selected as 1 of 5 paid interns out of ~2000 applicants (10 total interns)
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Evaluated 60+ awarding bodies and 130–180 qualifications based on multiple content components
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Developed a structured evaluation framework using 15 key parameters (0–2 scoring model)
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Reduced evaluation time by 70% by streamlining content analysis workflows
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Identified gaps in incomplete content modules across awarding bodies
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Contributed to 3 major reports, including a detailed content analysis project
Nov 2024 - Jan 2025
Data Intern
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Worked as a Data Intern at OfBusiness, a B2B platform providing financing and procurement solutions
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Developed 2 Looker dashboards to track turnaround time (TAT) for supplier and buyer invoices
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Analyzed large datasets (~6–7 lakh rows) using BigQuery and SQL
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Automated ETL workflows using Apache Airflow to improve reporting efficiency
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Identified and analyzed invoice processing timelines to support operational decision-making
Education
2024 - Present
Institute of Actuaries of India
Student Member, Pursuing CS1
Actively pursuing actuarial studies to deepen expertise in risk assessment, financial modeling, and statistical analysis as an extension of my career.
2021-2024
Mount Carmel College
Bachelor's of Vocation in Data Science and Analytics, Bangalore
Developed a strong foundation in data science, machine learning, and analytics, gaining hands-on experience with industry tools like Python, SQL, Power BI, and machine learning frameworks.