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Data Analyst with 2+ years in SQL, Power BI & Python.
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Assessing your cultural and operational fit
Data Analyst with 1.5 years of experience building end-to-end analytical pipelines, automating reporting systems, and transforming complex enterprise data into strategic business solutions. Proficient in executing complex data architectures spanning SQL extraction, algorithmic Python computation, and robust Power BI/Tableau data modeling. Proven track record of optimizing e-commerce funnels, inventory metrics, and cross-functional corporate workflows.
Saraswati College of Engineering
Bachelor of Engineering (B.E.) · Information Technology
N/A – June 30, 2024
Sona Phosphates Ltd
Data Analyst Associate
January 1, 2024 – Present
Mumbai, Maharashtra, India
Amazon International Competitor Intelligence & Buy-Box Optimizer
June 17, 2026 – Present
Automated a manual 4-person data extraction process by engineering a Selenium pipeline to scrape live competitor prices and Buy-Box metrics across global domains (UK, UAE, AU). Utilized Pandas to clean and feed scraped data streams into Excel financial models, reducing daily manual processing and delivering real-time pricing insights to management.
Supply Chain Performance Optimization & Data Modeling
June 17, 2026 – Present
Restructured fragmented, multi-source logistical vendor spreadsheets using Excel Power Query to enforce strict data normalization standards. Designed a high-performance Star Schema data model inside Power BI, engineering time-intelligence DAX parameters to track dynamic KPIs including On-Time-In-Full (OTIF) distribution rates and inventory turnovers.
E-Commerce Funnel Analytics & Revenue Optimization
June 17, 2026 – Present
Analyzed over 5M+ rows of uncleaned digital clickstream data by writing robust SQL window functions ('LEAD'/'LAG') and multi-stage CTEs to reconstruct historical user website session journeys. Identified a critical 14% user drop-off bottleneck occurring within mobile checkout interfaces, deploying a Conversion Funnel Dashboard that armed product teams with concrete user-leakage analytics to boost conversion.
Google Data Analytics Professional Certificate
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from e-commerce funnel analytics to supply chain optimization and competitor intelligence, indicates adaptability and a broad interest in applying data analysis across different business domains. The professional experience aligns well with a Data Analyst role, showing a clear career path and relevant skill development. The Google Data Analytics Professional Certificate further reinforces a commitment to the field.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through project descriptions, such as identifying and addressing a 14% user drop-off bottleneck. Their experience in partnering with cross-functional stakeholders indicates good collaboration and communication for translating operational demands into technical solutions. The automation of manual processes suggests an efficiency-driven mindset.