Channabasava H

Senior Analyst with 5+ years of experience building customer-level predictive models and decision-focused analytics framework that drive revenue and business outcomes with a strong background in segmentation, forecasting and performance analysis & reporting. I bring strong hands-on experience in Python, SQL across modern data platforms such as Snowflake, Databricks & Azure platforms, with the ability to design end-to-end data workflows. Currently pursuing an MBA in Finance, with a strong interest in applying analytical capabilities to financial modeling and portfolio management.

Senior Analyst | Customer & Retail Analytics at Merkle Inc (2023-04 – Present)

A leading data-driven and technology-enabled global customer experience management company

• Led customer and product-level analytics to identify key drivers of sales and repeat behavior, using transactions and channel performance data
• Built and deployed predictive models including customer lifetime value (CLV), demand forecasting, and intent analysis over defined horizons, using statistical and machine learning techniques
• Designed decision-focused analytical frameworks to support business strategy, enabling data-driven actions across customer targeting and revenue optimization
• Designed dashboards in Tableau and Power BI for leadership, improving KPI visibility and reducing insight turnaround time by approximately 50%, translating insights into actionable business decisions and supporting portfolio decisions

Analyst | Customer Analytics at Merkle Inc (2020-12 – 2023-04)

A leading data-driven and technology-enabled global customer experience management company

• Built and deployed machine learning classification models through iterative model development and validation to segment customers by value and churn risk, improving identification of high-potential and at-risk segments for targeted actions
• Collaborated with stakeholders to design and execute a post-merger data consolidation and content organization framework, creating a centralized master dataset that eliminated redundancy, improved data reliability, and increased operational efficiency across teams

Master of Business Administration in Finance – Birla Institute of Technology and Science, Pilani (2025-07)

Certification in Applying Data Analytics in Finance – University of Illinois Urbana-Champaign (2023-01 – 2023-01)

Bachelor of Engineering in Computer Science – PES Institute of Technology (2020-08 – 2020-08)