Jul 2024 – Jul 2025 · 1 yr · Bengaluru · On-site

• EXL - secondment Amazon.IN ( Sub Same Day Delivery Experience )
• Led Business Intelligence & Analytics with Amazon’s Sub Same Day Delivery (SSD) program (via EXL), I enabled strategic decision-making and measurable business impact for Prime customers by supporting mission to deliver xM+ essential products within same-day or sub same-day across xx+ cities in India.
• The SSD initiative was designed to go beyond quick commerce by building a scalable hyperlocal delivery model—powered by dark store operations, selection expansion, and speed-focused customer experience—transforming how Prime customers discover, shop and receive everyday essentials.
• Business Impact Highlights:
• Influenced $xxM+ incremental revenue through analytics-driven improvements across product visibility, speed, and fulfillment performance
• Achieved xx% improvement in delivery speed through diagnostics on operations, inventory flow, and supply chain efficiency
• Enabled xx% uplift in product discoverability, leading to higher conversion and engagement
• Supported hyperlocal expansion across Top xx+ cities with analytics for dark store launch readiness, selection optimization, and operational KPIs
• Improved customer satisfaction metrics by delivering insights across marketing, product, supply chain and last mile delivery touchpoints
• I led the development of reporting and decision systems using SQL, PySpark, SparkSQL, and built scalable infrastructure including data warehouses, OLAP models, data marts, and ETL/ELT pipelines. Insights were delivered through QuickSight and enhanced with advanced analytics, including time series forecasting, ML models and GenAI/LLMs for proactive and predictive business decisions.
• This role spanned the full lifecycle from product discovery to final delivery to customer satisfaction and retention, delivering business impact across the entire customer journey.

Jul 2024 – Jul 2025 · 1 yr

Jan 2023 – May 2024 · 1 yr 4 mos · Netherlands-India · Hybrid

• ◦ Analytics Engineering:
• Developed a multi-faceted data and analytics product for E-commerce sellers on Azure cloud platform. This
• product included an OLAP system for data ingestion, processing, and analysis. constructed key performance
• indicators (KPIs) and reports, utilizing data modeling techniques (star schema/snowflake schema) and Power BI for
• data visualization. This comprehensive solution led to a 20% increase in identifying high-potential revenue
• opportunities, enabling targeted marketing campaigns.
• ◦ Data Science:
• Spearheaded the development of a Python-based time series machine learning model using
• FB-Prophet for demand planning and forecasting. a major hurdle for optimizing stock levels and maximizing revenue. By leveraging historical sales data,
• Exploratory data analysis, demographics, seasonality trends, and external factors, the model achieved a 15%
• improvement in sales accuracy.
• ◦ Led the development of a Customer-Product sentiment analysis system , focusing on customer feedback for
• products sold by sellers on the e-commerce platform. This data-driven approach yielded a substantial 20% increase
• in customer satisfaction scores. The system assigned custom metrics to capture positive and negative customer
• sentiment, identifying key areas for product improvement. By leveraging Python NLP libraries, OpenAI GPT-3.5
• models, AzureSql and AzureCosmosDB for data storage. we extracted actionable insights and recommendations
• that empowered sellers to optimize their product offerings, leading to increased sales and a strengthened
• competitive advantage.
• ◦ Business Analytics:
• Developed a data-driven solution to performance visibility challenges at E-tailize, leading a
• comprehensive business analytics project. Developed custom
• dashboards that tracked key metrics (total active users, daily/monthly active users, ARPU, YoY/QoQ/MoM sales
• growth, retention rate, churn rate, and customer satisfaction score.

Feb 2022 – Jun 2022 · 4 mos · Mumbai

Mar 2021 – Aug 2021 · 5 mos · Thane, Maharashtra, India

• Led operations management, Analyzed production, sales, internal operations data . Developed interactive dashboards and reported to stakeholders. Managed operations, handled supply-chain as well worked as IT administrator tooo.

Jun 2020 – Aug 2020 · 2 mos · On-site

Apr 2019 – May 2019 · 1 mo · Thane, Maharashtra, India · On-site

Apr 2016 – May 2016 · 1 mo

Apr 2013 – May 2013 · 1 mo