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Rahul Venukumar

@rahulvenukumar

Message

Data Scientist using machine learning and BI to drive business growth.

India

Message

What I'm looking for

I’m looking for a role where I can build end-to-end analytics—ETL, forecasting, BI dashboards, and AI/RAG systems—to turn data into faster decisions. I want ownership of measurable outcomes and collaboration with stakeholders across business teams.

I’m a Data Scientist with nearly 4 years of experience turning complex data into actionable insights through statistical analysis, machine learning, and data visualization. I focus on delivering measurable value by linking analytics directly to forecasting, automation, and smarter decision-making.

At Murphy Ltd, I built interactive Power BI dashboards with Python to give stakeholders real-time visibility into construction performance, costs, and timelines. I’ve also optimized ETL pipelines across sources, applied machine learning for regression/classification to forecast delays and overruns, and used NLP to extract risks from unstructured project reports—supporting proactive planning and improved efficiency.

I’ve extended this work with enterprise RAG and generative AI on Azure (Azure OpenAI with RAG using Azure AI Search and Blob Storage), plus time-series forecasting and anomaly detection for construction operations. Earlier, I developed predictive maintenance and BI reporting at Joseph Gallagher Ltd and Thales, including KPI development and maintenance optimization using Python, SQL, and Power BI.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

Murphy Ltd

Jul 2024 - Present (2 years 2 months)

Built interactive Power BI dashboards and Python-based pipelines to deliver real-time insights into construction project performance, costs, and timelines. Developed ML and generative AI solutions (including Azure OpenAI RAG) for delay/cost forecasting, anomaly detection, NLP risk extraction, and predictive maintenance.

Dashboarding Power BI Python Machine Learning regression Classification ETL Data Pipelines AWS Azure NLP predictive modeling A B Testing Anomaly Detection Generative AI Azure OpenAI RAG Azure AI Search Azure Blob Storage

Data Scientist

Joseph Gallagher Ltd

Jan 2023 - Jun 2024 (1 year 5 months)

Developed and deployed machine learning models for predictive maintenance to reduce operational downtime and improve resource allocation. Implemented end-to-end RAG with Azure OpenAI embeddings to enable semantic search and improved enterprise knowledge retrieval.

Machine Learning Predictive Maintenance SQL Server Snowflake Azure ETL SQL Python Power BI KPI Design RAG Azure OpenAI Embeddings Vector Databases Semantic Search Data Pipelines

Data Analyst

Thales

Jan 2022 - Dec 2022 (11 months)

Used Python and SQL to analyze operational hardware data and build predictive maintenance to reduce equipment downtime. Created Power BI dashboards and supported ML-driven maintenance planning to improve uptime and operational efficiency.