Senior Data Analyst with 7+ years of experience in helping fortune 500 companies across ver8cals like retail, e-commerce, u8lity services, Pharma to solve
various strategic and opera8onal problems. Relentless intellectua…
Senior Data Analyst with 7+ years of experience in helping fortune 500 companies across ver8cals like retail, e-commerce, u8lity services, Pharma to solve
various strategic and opera8onal problems. Relentless intellectual curiosity, and the ability to mine hidden gems located within large sets of data and represen8ng the findings in business/client ready format through various apt visualisa8ons. Adept at working effec8vely to achieve goals both as a team leader and individual contributor.
Generate data-driven insights and provide analytical support for Machine learning
based products in the Marketplace data science team. Data exploration, analysis, reports, EDA, cost benefit, feasibility analysis, and dashboards to assist the various business, and product functions.
<p>Generate data driven insights and provide analytical support for ML based products in the Marketplace data science team<br>
Provided analytical support through reports, data exploration, feasibility analysis, and impact analysis for various assortment growth initiatives<br>
Developed Assortment growth dashboard in Looker(Google data studio)/ Tableau that reports the key KPIs that are used by the business to evaluate assortment growth performance<br>
Implemented data quality management framework to ensure accuracy of the dashboard<br>
Conducted in-depth analyses to identify reasons for poor item performance on the platform, including search, transactional issues, content quality, pricing, and inventory management<br>
Developed an Item Enablement Dashboard to track identified high-demand items and established KPIs for pinpointing performance issues<br>
Explored various data sources including sales and site analytics to generate analytical dataset<br>
Established automated pipelines to extract data from Big Query/Hive schemas, feeding into the biweekly internal demand score model<br>
Performed impact analysis to validate internal demand score effectiveness and compared it to external scores using hypothesis testing</p>
<p>Led 4 data scientists to create a risk-scoring algorithm for US restaurants and designed a Power BI dashboard for FDI Compliance insights<br>
Migrated data from on perm servers to Azure Data Lake<br>
Enabled clients to optimise operations and explore new strategies through comprehensive e-commerce analysis covering website, orders, delivery, vendors, and loyalty<br>
Collaborated with the store operations team to reduce supermarket service costs by creating performance-ranking dashboards driven by critical KPIs for cost evaluation</p>
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