Bhanu Chander Luddipeerla
RALEIGH,NC
Summary
Customer Success Data Scientist and Analytics & AI Solutions Engineer with 8+ years of experience translating business objectives into customer-focused analytics, self-service BI, governed data products, and AI-enabled decision solutions. Combines consultative stakeholder engagement with hands-on expertise in Python, SQL, Snowflake, SAP HANA, Tableau, Power BI, Streamlit, machine learning, anomaly detection, predictive analytics, and LLM-powered workflows. Proven experience leading demonstrations, platform migrations and upgrades, customer enablement, data quality, executive storytelling, cross-functional delivery, and team mentoring.
Overview
1
1
Certification
10
10
years of professional experience
Work History
Senior Analytics & AI Solutions Engineer
CISCO
02.2019 - Current
- Use Case: Built an integrated analytics ecosystem for customer success and commercial operations, covering bookings, pipeline, Enterprise Agreement metrics, Gong adoption, customer health, and churn risk.
- Tools & Technologies: Power BI, Splunk, Cisco platforms, SAP HANA, Snowflake, SQL, Python, Webex, machine learning, anomaly detection, predictive analytics, and Large Language Models (LLMs).
- Contribution: Translated business objectives into technical analytics plans; designed executive dashboards; standardized DAU and WAU adoption metrics; and built a Webex chatbot with LLM-based query generation and validation for conversational data access.
- Business Impact: Improved self-service insight delivery, reporting consistency, data quality, and proactive risk identification through automated workflows, governance controls, executive demonstrations, and cross-functional problem resolution.
Sr. Data Analyst & BI Innovation Lead
Cisco
- Use Case: Delivered analytics for Cisco Security products—including XDR, Duo, Firewall, and Umbrella/SSE—to evaluate pipeline, bookings, renewals, post-sales feedback, partner performance, and marketing influence.
- Tools & Technologies: Snowflake, Salesforce, Tableau, Power BI, Python, Pandas, Streamlit, Databricks, SQL, and campaign and marketing data platforms.
- Contribution: Led data-pipeline integration, developed dashboards and self-service applications, created customer persona and segmentation frameworks, and standardized key commercial and customer-success metrics across teams.
- Business Impact: Enabled weekly decision support, stronger retention and growth analysis, and trusted reporting by resolving campaign, product-hierarchy, and fiscal-logic discrepancies through rigorous validation and governance.
Lead Analytics Solutions Engineer
Cisco
- Use Case: Modernized enterprise analytics by migrating WEMP data from Google Cloud to Oracle and transitioning Power BI reporting from on-premise databases to scalable cloud-based platforms.
- Tools & Technologies: Power BI, Google Cloud, Oracle, SQL Server, Snowflake, enterprise data models, cloud integration, and performance-optimization techniques.
- Contribution: Led migration planning and delivery, gathered requirements, defined KPIs and integration patterns, designed executive dashboards and custom visualizations, and managed an onsite-offshore team of analysts and developers.
- Leadership & Impact: Protected data integrity and reporting continuity, improved dashboard performance and scalability, coached junior team members, and presented analytical recommendations to senior stakeholders.
Senior Visual Analytics Consultant
- Use Case: Developed marketing and business analytic solutions that combined customer, campaign, CRM, and enterprise data to support executive decision-making and stakeholder-specific reporting needs.
- Tools & Technologies: Tableau, Marketo, CRM platforms, Snowflake, LOD expressions, data blending, custom calculations, Time Travel, Zero-Copy Cloning, and Data Sharing.
- Contribution: Integrated marketing and CRM data, translated stakeholder requirements into tailored visual applications, optimized Tableau data sources and calculations, and connected Snowflake with enterprise BI tools.
- Business Impact: Delivered clearer analytical storytelling and more reliable access to business insights by presenting findings, explaining technical concepts, and recommending practical actions to business leaders.
Lead Analytics Platform Engineer – Tableau & Enterprise BI
- Use Case: Owned the enterprise Tableau environment and Marketing IT analytics portfolio, supporting executive reporting, platform reliability, secure access, upgrades, adoption, and ongoing stakeholder enablement.
- Tools & Technologies: Tableau Desktop, Tableau Server, enterprise data sources, security and permission models, performance monitoring, troubleshooting, and technical documentation.
- Contribution: Designed executive dashboards, administered installations and upgrades, tuned performance, managed permissions, resolved platform issues, and served as the primary contact for Marketing IT stakeholders.
- Center of Excellence Impact: Established governance, documentation, architecture, and knowledge-sharing practices that improved consistency, protected sensitive data, and strengthened long-term analytics adoption and support.
Data Analyst/Sr. BI Developer
- Use Case: Supported K2 DNA life-cycle and IBN analytics by modernizing legacy reporting, delivering executive dashboards, and providing recurring operational and regional insights.
- Tools & Technologies: Tableau, Power BI, Hadoop, Oracle, SQL Server, Snowflake, SQL, PL/SQL, ETL, star and snowflake schemas, dimensional modeling, views, stored procedures, functions, and batch scripts.
- Contribution: Migrated Tableau reports from Hadoop to Oracle, developed dashboards and extracts, created drill-down and drill-through reporting, and presented backend validation across multiple data sources.
- Business Impact: Improved reliability and usability of daily, monthly, quarterly, and annual reporting through standardized data models, reusable components, and validated enterprise data flows.
Sr. Tableau Developer/ Admin
- Use Case: Delivered and governed enterprise self-service analytics, enabling business users to explore complex data through secure, reliable, and high-performing Tableau dashboards.
- Tools & Technologies: Tableau Desktop, Tableau Server, structured and semi-structured data sources, ETL integrations, extracts, refresh scheduling, monitoring, access controls, and version-control practices.
- Contribution: Designed interactive dashboards, administered server configuration and upgrades, managed users and permissions, optimized workbooks and queries, and automated extract and refresh operations.
- Adoption & Impact: Increased effective platform usage by establishing development standards, documenting solutions, training end users, providing production support, and enforcing data-governance practices.
Jr. Tableau Developer
Kimberley Clark
01.2017 - 12.2018
- Use Case: Converted business questions into interactive reporting solutions for senior stakeholders, combining multiple data sources to deliver operational, geographic, and performance insights.
- Tools & Technologies: Tableau, SQL, Python, database views, parameters, calculated sets, action filters, data blending, dual-axis charts, scatter plots, heat maps, tree maps, and geographic visualizations.
- Contribution: Gathered requirements, defined technical specifications and reporting metrics, built and tested dashboards, administered users and schedules, and automated data-refresh processes using Python.
- Business Impact: Improved reporting accuracy, repeatability, and stakeholder alignment by validating queries before publication and applying consistent Tableau development and administration practices.
Education
Masters - Computer Science
Silicon Valley University
12-2016
Skills
- Visual Analytics: Tableau, Power BI, QlikView, Excel, Google Looker Studio, Salesforce Reporting, Smartsheet
- Data Science & AI: Machine Learning, Statistical Modeling, Anomaly Detection, Predictive Analytics, Large Language Models (LLMs), Prompt Engineering
- Programming: Python, SQL, PL/SQL, Bash, PowerShell, HTML
- Data Platforms: Snowflake, SAP HANA, SQL Server, Oracle, Hadoop HIVE, MySQL, Redshift, AWS Athena, Splunk
- Cloud & Engineering: AWS, Azure, Google Cloud, Databricks, ETL, Data Modeling, Data Warehousing, Data Pipeline Automation, Data Quality and Validation
- Applications & Tools: Cursor,Streamlit, Marketo, Informatica, SSIS, Git, JIRA, Confluence, Postman, Microsoft Office Suite
- Professional: Customer Engagement, Executive Communication, Storytelling, Requirements Discovery, Project Management, Mentoring, Training, Problem-Solving
Accomplishments
Built AI-powered Webex agents for multiple product teams, enabling stakeholders to conversationally retrieve QBR and MBR metrics directly from Snowflake instead of relying on monthly or quarterly manual reporting.
Certification
- Prompt Engineering — Open AI | Jul 2025
- Salesforce Marketing Cloud — Salesforce | Apr 2024
- Big Parser AI — Big Parser | Jun 2023
- Marketo IT — Adobe Analytics | Jun 2023
- Tableau Desktop — Tableau | Feb 2019
- Tableau Desktop 10 Qualified Associate — Tableau Software | Jun 2017
Timeline
Senior Analytics & AI Solutions Engineer
CISCO
02.2019 - Current
Jr. Tableau Developer
Kimberley Clark
01.2017 - 12.2018
Sr. Tableau Developer/ Admin
Data Analyst/Sr. BI Developer
Lead Analytics Platform Engineer – Tableau & Enterprise BI
Senior Visual Analytics Consultant
Lead Analytics Solutions Engineer
Cisco
Sr. Data Analyst & BI Innovation Lead
Cisco
Masters - Computer Science
Silicon Valley University
CORE EXPERTISE
- Customer Success Strategy
- Trusted Advisory
- Adoption & Enablement
- Advanced Analytics & ML
- Generative AI / LLMs
- Executive Storytelling
- Visual Analytics & BI
- Customer Health & Churn
- Data Integration & Governance
- Platform Migration & Upgrades
- Cross-Functional Leadership
- Coaching & Training