Data Science Business Intelligence

LV Ramana Rallabandi

517-***-**** • ********@***.*** • linkedin.com/in/lvramanarallabandi/

PROFILE

With 16 years in business intelligence, I’m expanding into data science to deepen my perspective on how data drives decisions across the ecosystem. I focus on applying analytical tools to deliver practical, business-focused outcomes. EDUCATION

Michigan State University, East Lansing, MI December 2025 Broad College of Business

Master of Science in Business Data Science & Analytics RELEVANT EXPERIENCE

Concentrix, Product Analytics USA (Telecommunication), Hyderabad, India October 2016 - December 2024 Manager (Application development)

To enhance product analytics and marketability, led semantic-layer redesign and converted 70+ Cognos reports into interactive Tableau dashboards with optimized data extracts.

To accelerate analytics, re-engineered backend infrastructure in Amazon Redshift using MPP optimization

(distribution styles, sort keys, PartiQL, CTEs), cutting runtime from 37 mins to 14 secs and data scanned from 2.5 TB to 3 GB.

To improve dashboard responsiveness, built multi-table Tableau extracts running hourly on datasets with millions of rows of data.

To support sales and adoption, developed 3 Proof-of-Concepts (15+ dashboards), emphasizing best practices in usability and visualization.

To boost efficiency, provided IVR performance insights that informed routing improvements, increasing self- handled calls by 12% and reducing cost per call from $6.50 to $6.00.

To drive customer success, analyzed dashboard user drop-offs, contributing to a 15% improvement in goal completion rates for key customers.

CGI Information Systems, Hyderabad, India January 2013 - October 2016 Senior Software Engineer

LVMH France (Retail)

To support timely insights, I built role-based Tableau dashboards with scheduled extracts, reducing manual data exports by 30% and ensuring reports were ready before monthly close deadlines 98% of the time. Knowledge Universe USA (Finance)

To simplify reporting and reduce redundancy, I redesigned the semantic layer and implemented drill-through functionality in Cognos, consolidating 40 reports into 6 and improving navigation across related reports. Genpact, Davita Healthcare USA, Bangalore, India March 2011 - January 2013 Senior Software Engineer

To enhance infection trend reporting, I used Cognos Cubes and MDX to improve performance and accessibility, enabling insights that helped reduce infections by 8% and readmissions by 11%. ACTIVITIES & SKILLS

Technical Skills: Datawarehouse Modelling, SQL Performance Tuning, Tableau 2020.x, Tableau Content Migration Tool, Cognos Report Studio 8 to 11, Cognos Framework Manger, AWS Redshift, AWS Athena, S3, Event Bridge, Glue, Impala, Oracle, Postgres, DB2, SQL Server, Linux, Python, R, Git

Languages: English, Telugu, Hindi

Contact this candidate