Jul 2025 – Jun 2026 · 11 mos

• Built and scaled the India Data team from the ground up; hired and mentored a high-performing team supporting Customer & product Analytics, Finance, Sales, Engineering.
• Established operating rhythms, prioritization frameworks, modeling standards, and stakeholder
• alignment structures that scaled the team’s impact across Product, GTM, and Finance.
• Launched an Agentic AI BI Assistant on Slack that handles LLM powered semantic content discovery,
• auto-summarizes dashboards with anomaly/trend explanations, and generates new reports from
• natural-language commands significantly reducing ad-hoc queries & enabling executive teams
• to access high-fidelity insights without manual intervention.
• Spearheaded IPO-readiness by standardizing core business metrics (ARR, NDR, churn, cloud cost, customer health), enhancing enterprise-wide data consistency and auditability.
• Developed pricing simulation models that directly shaped strategic pricing for cloud offerings.
• Drove product and customer analytics initiatives across feature adoption, churn reduction, supportability, and credit usage, enabling retention and expansion.
• Championed the development of Sales Performance and Pipeline Health Metrics, enabling Sales leadership to track deal velocity, pipeline movement, and rep effectiveness

Jul 2023 – Jul 2025 · 2 yrs

May 2021 – Jul 2023 · 2 yrs 2 mos

• Led experimentation and optimization of the subscription funnel for the Google Home App, generating ~$10M in incremental LTV.
• Developed robust analytics frameworks to support feature launches for Google Home devices and Nest subscriptions.
• Defined Google Search India’s 2023–25 growth strategy by identifying regional engagement gaps and surfacing local content opportunities.
• Led segmentation and experimentation for Google Search India, driving feature development tailored to non-English users and underrepresented segments.
• Collaborated with PM, UXR, TPM, and SWE teams across Search and Devices to drive initiatives from ideation to launch, building a culture of experimentation and measurable growth.

May 2021 – Jun 2022 · 1 yr 1 mo

Apr 2021 – May 2021 · 1 mo

• Built and scaled the inaugural Data & BI team within LinkedIn Sales, driving operational efficiency.
• Developed an NLP-based ML model and a Django web app to auto-classify campaigns, enhancing sales workflows.
• Conducted AI enablement workshops for stakeholders, fostering a culture of data-driven decision-making across the organization.

Sep 2019 – Mar 2021 · 1 yr 6 mos

Dec 2018 – Aug 2019 · 8 mos

• Led a team of decision scientists to enable data driven decisions for multiple Fortune 500 companies across Digital Marketing and Retail verticals

Oct 2018 – Aug 2019 · 10 mos

Jul 2016 – Sep 2018 · 2 yrs 2 mos

Jun 2016 – Jun 2016 · 0 mo

May 2016 – May 2016 · 0 mo

• Mentor learners on core data science skillsets like Python, SQL, Machine Learning, Hadoop & Hive , Visualisation - Tableau, Design Thinking and Storyboarding

Jan 2016 – Apr 2016 · 3 mos · Bengaluru Area, India

• Pursued a 4 months internship at Biocon Pvt Ltd, working on a project based on ‘Microarray data analysis of gene expression in Th17 polarized cells under the effect of the drug Itolizumab’. The analyses delivered through my stint here helped develop a drug for patients suffering from auto-immune diseases

Feb 2014 – Dec 2014 · 10 mos · Chennai Area, India

• We undertook two projects, Project Kriti, and Project Aakar. Former dealt with uplifting a community through the business of embroidery, while the latter dealt with, uplifting the community through the production of an organic manure called 'Panchkavya'

Feb 2014 – Apr 2014 · 2 mos · Karnataka, India

• Did a summer internship at Tech-Mahindra, Bangalore on the importance of big data analytics on genome sequencing