Mumbai, Maharashtra, India
I'm an Senior Data Analyst with 8+ years of experience turning complex, large-scale data into systems and decisions that move the business — across B2B SaaS, e-commerce, and supply chain environments. My work sits at the intersection of three things most analytics leaders have to choose between: deep technical execution, AI-augmented tooling, and cross-functional business impact. I don't choose — I do all three. What I've built: At Vonage (Ericsson), I architected a multi-model marketing attribution framework across 40 segments, improving data coverage from ~2% to 60%+ and informing multi-million dollar budget decisions. I also deployed a suite of AI agents — Glean Workflow, Snowflake Cortex Analyst, Tableau Copilot — that eliminated manual audit workflows and enabled non-technical stakeholders to self-serve insights via natural language. At Samsung (via Invictus/Epitec), I led end-to-end analytics across personalization, A/B testing, VIP rewards, and retention — reducing churn by ~12% through cohort-based behavioral modeling and building ML/AI testing frameworks that measured conversion lift at scale. Earlier, at Wayfair and Restoration Hardware, I worked directly in supply chain analytics — inventory forecasting, PO lifecycle management, and supplier performance optimization. How I work: I design for scale and handoff — pipelines that don't break, dashboards that don't need explaining, and frameworks that junior analysts can run independently. I collaborate closely with product, engineering, and executive stakeholders, and I've consistently been the person leadership calls when a data problem is too messy or too strategic for a standard analyst. What I'm looking for: Senior analytics engineering or lead roles at B2B SaaS, e-commerce, or data-driven companies — India-based, remote, or open to relocation globally. Ideal environment: a team solving hard data problems at product and strategy level, not just reporting. Core stack: Snowflake · Python · SQL · Tableau · Glean AI · Cortex Analyst · GitHub Copilot · Spark · Airflow Open to connecting with recruiters and hiring managers — feel free to reach out directly
Driving analytics engineering and AI-augmented decision systems for Vonage's B2B marketing and revenue operations. Attribution & Revenue Analytics - - Owned end-to-end marketing attribution strategy across 40 segments; designed hybrid multi-model framework (7 allocation models) improving data coverage from ~2% to 60%+, directly informing multi-million dollar budget reallocation decisions - Built modular Snowflake pipeline resolving large-scale data quality issues; applied deterministic deduplication ensuring sub-cent allocation accuracy across total pipeline value - Developed executive Tableau dashboard with automated outlier detection (2σ), 6-tier priority scoring, and data quality flags — generating 50+ high-priority action items for stakeholder review AI Agent Implementation - - Designed and deployed AI Copilot suite: Glean Workflow Agent (QC reporting), Snowflake Cortex Analyst (NL querying), Tableau Copilot (workbook health scoring) — eliminating manual audit workflows across the analytics team - Directed AI-driven analytics adoption across team workflows, improving pipeline velocity and enabling non-technical stakeholders to self-serve insights
- Led data analysis for personalized marketing, supported product managers with identifying and segmenting audiences for targeting. -Implement strategies to create campaigns in Adobe Target to perform analysis better. -Provided pre and post-launch Campaign setup and analysis. - Utilized Adobe Analytics to monitor user interactions across web and mobile platforms, driving personalized marketing initiatives that boosted conversion rates by 15%. -Set up and maintained Adobe Launch to implement tags for Adobe Analytics, Adobe Target, and third-party integrations, ensuring precise data capture for real-time personalization efforts
Led the analytics for 3 different products from start to end – Personalized Marketing, Internal Forecasting tool Foreteller, Rewards and Referral program. Performed Data exploration, data cleaning, data validation, quality evaluation and recommended improvements. Conducted detailed analysis of the forecast/demand data to evaluate the forecast Adoption/Accuracy from the product. Served as a thoughtful leader to leadership and the product management team by collaborating throughout the product lifecycle from discovery, A/B testing, to post launch insights and learnings. Examined the existing workflow ETL jobs in Airflow and Oozie jobs analyzed the failure, new requirements and adjusted accordingly. Build new data ingestions and ETL scheduled jobs to support the Data engineering team. Created, maintained, and owned model deployment and data pipelines to identify and load customer segment data. Helped in developing and owning Ad-hoc reporting, pipelines, and dashboards in Tableau, New Relic and Adobe Analytics for deep diving and overview of Marketing Personalization, Data Science, and Forecasting data. Developed database objects, including tables, views, and materialized views using Apache Hive, Vertica, Presto, GCP. Utilized statistical and data mining techniques on data such as Traffic, and AB-test data, customer Browsing and purchase behavior and provide suggestions and improvement opportunities to the S.com personalization Team for growth initiatives. Assisted Data Science/ Engineering/Category Managers/Product Managers teams with automation that reduced redundant work by 30%.
• Managed purchase order life cycle from start to finish, handling and managing 3 trackers containing $100M worth of Purchase orders • Initiated and maintained daily communications with vendors and cross-functional partners, with a focus on backorder creation and high visibility collections • Utilized MicroStrategy- BI to build a companywide dashboard to trace errors in PO and provide a better allocation strategy • Implemented multiple processes & reporting changes for better decision making and improving the experience of customers, vendors, and internal team • Automated Vendor Backorder reporting using Macro & VBA increasing the efficiency to 95% and reducing the time by 80% • Worked with internal business partners to produce ad-hoc reporting, along with training on internal analytics platforms (MicroStrategy, QS) and PO management platforms (CW, STS, Oracle)
• Managed purchase order life cycle from start to finish • Worked on SAP to create purchase orders, purchase requisition, RFQ • Identified absolute inventory and build reporting using SAP to present to the team
• Provided Customer Service to residents and guests by logging them in and granting access to the front door into the residence hall • Monitored and controlled guests sign-ins into the residence hall • Assisted parents and students with queries regarding campus and resolved any issue faced by them • Coordinated with Northeastern Police Department, Public Safety officers and Boston Fire Department within the campus to respond to emergency situations within the residence hall