Rajesh Kalal Email and Phone Number

Led end-to-end deployment of a Cross-Sell Model using XGBoost technique in PySpark, targeting inactive subscribers to boost revenue by 6.8% and customer retention by 23%, handling a dataset of 40+ million subscribers with Agile methodology. Orchestrated end-to-end migration of campaign and scoring reports from SQL Serverto Azure cloud, integrating Tableau dashboards; replaced Excel reports, resulting in a 40% increase in data accessibility and a 25% boost in analysis speed. Engineered and optimized an end-to-end recommendation system for 32 million DTH clients on Azure, leveraging Azure Databricks and Machine Learning Studio, achieving 6-8% revenue growth and 48% efficiency improvement through automated data processes and CI/CD pipeline orchestration. Developed and deployed ML models & reports, reducing processing time by 25% through optimization techniques and creating stored procedures. Led the enhancement of the LLM project using LangChain and OpenAI model to convert natural language into SQL queries, significantly improving data analysis processes and delivering actionable insights & Prepared ROI reports for executive and business teams using MS Excel or Tableau, resulting in a 25% boost in operational efficiency.Led a team of 5 to design & develop automated models & Reports to AWS Redshift and Tableau, streamlining workflow and enhancing productivity.

Extensively utilized Python, R, and SQL Server in the project to performcomplex calculations, generate over 50 detailed graphs, and create 10 interactive dashboards, enhancing analytical capabilities by 40%.

Utilized Pendo Designer Software to tag and monitor over 50 key features, improving data accuracy by 30%, and developed over 20 detailed reports while designing a dynamic marketing dashboard in Google Analytics Studio, enhancing data-driven decision-making by 25%.