Raghvendra Singh

Ecommerce Manager

Neerus•  August 2023 - Present•  Hyderabad

Data Analysis & Reporting:  Conduct advanced data analysis using tools such as Power BI, Tableau, and Excel to create real-time analytics dashboards and reports.  Analyze and report on sales, revenues, regions, payment methods, order statuses and other ecommerce KPIs by extracting data from Oracle Cloud Database and performing ETL (Extract, Transform, Load).  Monitor ecommerce performance and provide actionable insights to enhance customer experience, sales, and profitability. Predictive Modeling & Forecasting:  Develop and apply predictive models using Machine Learning techniques (such as regression analysis, decision trees, and time-series forecasting) to predict sales, campaign effectiveness, and product demand.  Predict high-sales potential product images for campaigns based on historical data and trends.  Conduct Time Series Analysis to forecast monthly sales and align digital marketing budgets with predicted targets. Customer Segmentation:  Implement Clustering techniques, including decision trees and other data science methodologies, to segment customers for targeted digital campaigns.  Use customer segmentation data to personalize marketing efforts and improve conversion rates. Ecommerce Operations & Cataloguing:  Work closely with the ecommerce team to ensure timely and efficient cataloguing of 500+ SKUs per month across various online platforms (Shopify, Myntra, AJIO, Tata Cliq, Nykaa, Flipkart, Amazon, etc.).  Monitor inventory levels of over 5000 products across multiple channels and collaborate with stakeholders to ensure smooth operations. Digital Marketing Optimization:  Assist the digital marketing team by analyzing PPC campaigns, SEO performance, and other digital initiatives across platforms like Meta, Google, Instagram, and WhatsApp automation.  Leverage data to refine marketing strategies and improve campaign performance.  Support planning and execution of targeted campaigns based on analytical insights. Problem-Solving & Technical Collaboration:  Collaborate with technical teams to resolve any data-related issues in ecommerce operations, ensuring smooth functioning of platforms like Unicommerce, Fynd, and Browntape.  Troubleshoot and resolve issues across multiple ecommerce channels and support the team in maintaining uptime.Website & Feature Improvement:  Collaborate on improving the company website through data-backed decisions for feature enhancements, optimizing the user experience, and supporting new product launches.  Use HTML embedding and other tools to support ongoing website optimization.

University of Texas at Austin, Austin

Data Science, Post Graduate•  November 2023 - November 2024•  GPA: 4

GPA 4/4.3 | Batch Topper  Completed 20+ data science & analytics hands-on projects with Heroku Deployment  E-portfolio: https://www.mygreatlearning.com/eportfolio/raghvendra-singh5