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Data Analyst with 3+ years in e-commerce analytics, data pipelines & Power BI.
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Assessing your cultural and operational fit
Data Analyst with 3 years of experience in e-commerce analytics, automated data pipelines for analysis, and dashboarding. Expert in extracting, cleaning and transforming marketplace data (Amazon/Shopify) to produce actionable category & pricing insights that reduced manual research by 85%, enhanced metadata accuracy by 40%, and helped sellers improve conversions by 12-18%. Strong at building production-ready dashboards, exploratory data analysis, statistical testing, and delivering stakeholder-ready reports.
St. Joseph's University
B.Sc. · Mathematics, Electronics & Computer Science
August 1, 2019 – June 30, 2022
PUBLIQVERSE DATA SOLUTIONS PVT. LTD
Data Analyst
May 1, 2023 – Present
India
Category Intelligence Automation System
June 25, 2026 – Present
An analytic pipeline project aimed at automating insights from e-commerce category data. Built an end-to-end analytic pipeline to gather, analyze, and model marketplace data, implementing systematized workflows and reducing research time by 85%. Implemented modular stages (extract, clean, transform, analyze, report) with daily refresh schedules, enabling ten times faster insights for stakeholders.
Content Quality & Scoring Engine for Listings
June 25, 2026 – Present
Project aimed at improving the quality of product listings through automation and scoring. Developed rule-based + ML-assisted scoring to evaluate titles, keywords, image attributes & compliance—improving listing quality by 35-50% across pilot accounts. Created computerized remediation exports (Excel + recommended copy) enabling 1-click fixes, reducing manual editing time by approximately 80%.
Cultural Fit Analysis
The candidate's project diversity, including content quality scoring and category intelligence automation, shows a broad application of data analysis skills. Their current role as a Data Analyst aligns perfectly with the target role. The breadth of skills listed (programming, data analysis, visualization, data engineering, and soft skills) suggests adaptability and a continuous learning mindset, which are positive indicators for cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills, attention to detail, and creativity in reporting. Their experience in collaborating with stakeholders and product teams indicates good communication and teamwork abilities. The focus on automation and efficiency aligns well with operational needs for streamlined data processes.