Srinivasa Karur

Developed a pricing model using Random Forest and Gradient Boosting, increasing revenue by 15% within 3 months. Automated the pricing pipeline using Flask REST API, reducing manual interventions by 80%.

Forecasted monthly product sales using LSTM, SARIMA, and GBM models, improving inventory accuracy. Conducted EDA, feature engineering, and seasonal trend analysis across 5 years of sales data.

Built a Generative AI solution with a fine-tuned BERT model to highlight key document sections. Deployed a search interface using Flask and Docker Compose, reducing search time by over 60%.

Applied prompt engineering techniques to support automated multilingual responses, boosting regional content coverage by 40%. Created prompt library and evaluation pipeline for production readiness.

Designed and deployed B2B customer analytics pipelines processing over 1TB of data monthly using Kafka, Spark, and Flume. Processed over 1 million marketing events daily through real-time ingestion pipelines.

Developed customer segmentation using AdaBoost and Decision Trees, improving targeting by 25%. Consolidated and normalized data from over 500,000 financial transactions using SQL and Python.

Built recommendation engine using hybrid collaborative filtering and popularity-based model. Boosted conversion by 20% and reduced RMSE by 15% through tuning and A/B testing.

Built electricity price prediction model with time-series data using XGBoost and LSTM. Delivered ETL pipelines using Python and Apache Airflow that ingested and processed over 50GB of daily operational data.

Created Flask-based ML app for healthcare cost prediction, deployed on Azure using Docker. Built regression pipelines, conducted EDA, integrated CI/CD and API services.

Implemented project Business Planning and forecasting by using SAP BPC10.1 on BW7.40 (Datawarehouse) on HANA. Streamlined financial data integration workflows for over 15 business units.

Led data warehouse initiatives for energy company, focusing on data integration and reporting.

Directed delivery of high-volume ETL pipelines processing over 5TB monthly, supplying near real-time reports supporting decision-making across 7 business functions.

Led data warehouse analysis and implementation for global food company.

Led data warehouse analysis for energy company.

Led data warehouse analysis for food company.

Completed an advanced certification in Data Science and Artificial Intelligence from IIT Madras in 2020.

Completed a Master of Business Administration (MBA) from Shivaji University in 1995.

Completed a Post-Graduation Diploma in Computer Applications from BBIT India in 1993.

Completed a Bachelor of Pharma Engineering from Gulbarga University in 1992.