Jul 2025 – Present · 8 mos · Pune, Maharashtra, India

• Customer 360 & Segmentation Platform (Enterprise AI-driven Customer Insights)
• Objective: Build a unified Customer 360 platform to transform scattered telecom data into actionable insights for customer retention, growth, and engagement.
• 1)Led the end-to-end design and implementation of a Customer 360 data layer integrating ~296 attributes from 57 data sources, unifying ~212M customer records into a single canonical subscriber view — the foundation for analytics, segmentation, and strategic decision-making.
• 2)Defined the enterprise data model and validation framework using MSISDN as the unique customer key, ensuring data consistency and integrity across network, billing, and CRM systems.
• Engineered analytical pipelines to enrich customer profiles with behavioral, demographic, and product usage metrics (e.g., ARPU, tenure, device type, geography), enabling deeper understanding of customer lifetime value and churn patterns.
• 3)Developed AI-driven segmentation models (Autoencoder + HDBSCAN) to identify hidden customer cohorts, loyalty clusters, and churn-prone segments — driving precision marketing and retention interventions
• 4)Delivered actionable insights dashboards highlighting customer clusters, churn risk, and ARPU uplift potential, transforming raw data into executive-level intelligence for marketing and product teams.
• 5)Standardized and automated the ETL + ML pipeline (Cloudera ML + Python) to ensure scalability, repeatability, and integration into enterprise reporting (Cognos dashboards).
• 6)Business Impact: Enabled data-driven micro-segmentation and personalized campaign workflows, resulting in measurable improvements in customer retention, ARPU growth, and marketing ROI.
• 7)Change Management: Conducted strategic knowledge transfer sessions across verticals, demonstrating how Customer 360 insights can drive decisions in product design, network optimization, and customer value management.

Jul 2024 – Jul 2025 · 1 yr · Pune, Maharashtra, India

• Enterprise & Digital Cognos Transformation Program
• 1)Spearheaded the Cognos transformation and enablement initiative across Enterprise and Digital functions to automate reporting and drive self-service analytics adoption.
• 2)Orchestrated delivery of the Enterprise Performance Dashboard covering five LOBs (Mobility, IoT, FLD, FLV, Emerging Business), enabling real-time revenue and OB tracking with ~80% reduction in manual effort.
• 3)Directed development of the NEO Order-to-Sales Funnel Dashboard, providing end-to-end visibility from lead generation to activation, improving conversion monitoring and strategic decision-making.
• 4)Championed the Cognos enablement drive, onboarding 130+ users across Finance, Enterprise and Digital teams and fostering data-driven culture.
• 5)Collaborated with CXOs to validate reporting logic, align metrics, and institutionalize standardized performance tracking across business units.

Apr 2023 – Jun 2023 · 2 mos · Pune, Maharashtra, India · On-site

• Job Function- IT and Analytics*
• 1)Analysed the existing data lake to identify areas for strategic enhancement, Led the development and implementation of a new datamart named "Customer 360," encompassing over 600 attributes for single customers to provide a comprehensive understanding of the customer.
• 2)Conducted in depth competition analysis and market research to gain insights into global telecom companies' strategic use of customer data, identifying opportunities to enhance cross-functional team collaboration.
• 3)Documented key performance indicators (KPIs) for customer engagement, identifying upselling and cross-selling opportunities.
• 4)Improved customer loyalty and satisfaction through personalized strategic offerings and experiences.