Apr 2023 – Oct 2024 · 1 yr 6 mos · Atlanta, Georgia, United States

• Single handed Product Owner for the B2B Ecommerce platform, delivering key business insights to the leadership on areas of improvement, based on the customer’s journey on the website
• ▪ Played a key role in enabling the rollout of the revamped new version of the website through customer segmentation analysis, A/B Testing and locking down the measurement time frame, thus successfully moving 50% of the customer base with minimal business impact and increasing RPV by enabling user preferred features
• ▪ Work with cross functional teams, to enable seamless data tagging on Adobe, business insights for the catalog team to improvise category level performance and Product and Engineering teams to measure the performance of features on the website, customer feedback incorporation etc.,

Jan 2022 – Aug 2022 · 7 mos · Bangalore Urban, Karnataka, India

• Successfully led a team of 3 data analysts in performing the sell side activities of Sports category for India's leading Fashion Ecommerce retailer, thus contributing to 18% of the total sales in the org
• ▪ Handled top sports brands like Nike, Adidas, Puma, New Balance, Skechers, Reebok and many more by coordinating in a cross functional team set up overlooking the inventory management, pricing of goods based on various costing KPIs, sending out marketing communications for brand-based deals, designing the category related callouts for Homepage publishing, optimizing search results based on the product performance and designing deals and callouts for different customer segments
• ▪ Increased the sales contribution to 27% of the sales by achieving 140% of the target, during the country's largest fashion sale by improvising the pricing methodology and introducing ad hoc offer windows for highly sought-after brands

Jan 2021 – Jan 2022 · 1 yr · Chennai, Tamil Nadu, India · Remote

• Worked with the Customer Relationship Management team of Shell to provide data driven insights to customize the marketing communications to the customers
• ▪ Provided insights on effective CRM by customer targeting and streamlining the communications based on customer response rate
• ▪ Analyzed customer category migration during fuel promotion campaigns and designed customized offers and discounts to achieve permanent 10% customer conversion to high profile fuel in the European market

Sep 2017 – Jan 2021 · 3 yrs 4 mos · Bengaluru, Karnataka, India

• Assortment Planning | Client – Largest US based retailer – China
• Worked with the Assortment Discipline team of the world's largest retailer to optimize the store assortment by understanding the item association based on customer purchase behavior
• Presented the descriptive and inquisitive category analysis on an R Shiny interactive tool to provide the assortment solution at Category, UPC, Store cluster level
• Leveraged unsupervised machine learning technique to group the stores based on size, geographic location, footfall, customer ethnicity etc. for each category
• Built a customer decision tree to establish item parity based on price, pack size, product type etc. derived based on the purchase pattern for each category
• Designed a statistical cumulative score to grade the products based on sales per store, basket value, loyalty etc to assess the eligibility of the product to be included in the assortment
• Implemented A/B testing methodology to identify the test and control stores to carry out the optimized assortment for a span for 12 weeks to understand the impact and resulted in a 2% increase in sales overall in the test stores
• Digital Acquisition Platform | Client – US based Retail Bank
• Helped the 4th largest US bank to strategize their marketing campaigns to acquire 2M new credit card accounts
• Provided a 360-degree view of the campaign performance at marketing channel level and product level including the app funnel metrics on Arcadia dashboards
• Worked on Hadoop interface to process and manipulate the clickstream data and presented them on a set of 54 dashboards on Arcadia to the Marketing channel heads and Product Managers
• Quick turnaround on the campaign performance analysis on a weekly basis enabled the business to make well informed decisions on marketing campaign investments and achieve the target in a short span of 18 months