Apr 2021 – Feb 2024 · 2 yrs 10 mos

• Lead a team of 4 DEs and data analysts in building a CDP data platform on Snowflake in 4 months. Involved in end-to-end business requirement gathering, ELT, data modelling, setting up data quality and governance rules and building dashboards to capture all data points across the customer journey of Dell's consumer and SME business accounts.
• Optimized Spark jobs to reduce the runtime of daily batch processing from 4.5 hours to 1.5 hours.
• Built and maintained ML infrastructure(data pipelines, CI/CD, container resources, logging and monitoring dashboards, API endpoints) for NLP and recsys models.
• Identified CSAT opportunity improvement by 7% in a 3-year window (additional revenue of $15 million) for the North American region as part of the enterprise-wide B2B Customer experience improvement program.
• Assisted TPMs with the creation of user stories and QBR documents to drive delivery across multiple businesses and engineering teams.
• Shadowed vertical product managers for the creation of PRDs, setting quarterly and annual Targets and OKRs for analytics and DSE teams to support the org-wide B2B CX enhancement program.
• Part of the hiring committee for identifying and interviewing potential data engineering talent for Dell.

Jun 2019 – Mar 2021 · 1 yr 9 mos

• 𝐉𝐮𝐬𝐭𝐞𝐫𝐢𝐧𝐢 & 𝐁𝐫𝐨𝐨𝐤𝐬
• Improved CSAT by 8% through in-depth clickstream data analysis and recommendations for improved web-flow optimization across different cohorts(deep dives into funnel drop-offs/deviations/page errors).
• Analyzed CRM data and provided insights and recommendations into pricing strategies and promotional effectiveness across multiple channel touchpoints.
• Partnered with J&B product owner in owning the product roadmap, OKR's, feature development and launch of ERP-CRM(MS365 Business Central) system in 4 months, for supporting Diageo's D2C B2B and DTC premium wine & whiskey business.
• 𝐃𝐢𝐚𝐠𝐞𝐨 𝐁𝐞𝐞𝐫 𝐂𝐨𝐦𝐩𝐚𝐧𝐲
• Led a team of 4 PBI developers and data engineers in improving distributor operational efficiency by 40% by conceptualizing and building end-to-end data pipelines for ingestion, harmonization, validation and visualization on the Azure platform for tracking depletions, shipments, P&L and electronic point of sales for the North American Beer market.
• Tech: Azure SQL Server, Azure Data Factory, Azure Databricks, Azure DevOps, Power BI, Dremio

Jan 2018 – May 2019 · 1 yr 4 mos

• 𝐄𝐃𝐆𝐄
• Saved £1.3 million in operating costs, reduced 24 hours/week workload through data pipeline automation and built and maintained Outlet and field sales reps' performance Power BI reports for 1000+ users across different personas.
• Extensively tested image recognition data feed(TRAX) captured from outlets and developed a comprehensive framework for accurate data capture and established rigid data governance standards.
• 𝐍𝐞𝐭 𝐑𝐞𝐯𝐞𝐧𝐮𝐞 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭
• Conducted different statistical analyses on pricing and promotions datasets(Sell-Out Data, Financial, Panel and Shopper Marketing, M&E Planning) in collaboration with the Net Revenue Management team and released playbooks to drive AOP's and GTM strategy in Europe, encompassing headline pricing, pack&format architecture, trade & portfolio mix.
• Tech: Azure SQL Server, Azure Data Factory, Power BI, Dremio

Feb 2016 – Jan 2018 · 1 yr 11 mos · Bengaluru Area, India

• Saved $1.5 million during a 6-month time-frame through truckload optimization(optimization of dimensional and volumetric size) of grocery products.
• Conducted ad-hoc reporting on affinity analysis for Men’s belts and shoes, and recommended changes to planogram design across high-volume stores, which resulted in $25,000 incremental sales.
• Handled inventory movement worth $700 million across the entire supply chain and maintained an in-stock of above 85% throughout the year by optimizing inventory planning and allocation strategies.
• Mentored 4 new team members on systems, processes and best practices.
• Tech: Teradata, Tableau, Domo

Aug 2014 – Jan 2016 · 1 yr 5 mos · Bengaluru Area, India

• Reduced forecast error rate by 50 bps in the apparel department, by establishing best practices in the creation and updation of Sales History Models.
• Implemented end of season markdown strategies post key events(Back to School/College, Q4) and transitions to reduce holding inventory in DC's.
• Provided end-to-end reporting and data analysis based recommendations via Tableau reports to planners and buyers on sales, margins and inventory levels