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Umesh Rasal

@umeshrasal

Data and AI Engineer at Infosys, deploying incident-triage workflows and delivering insights behind $200K+ in annual savings.

India

Message

What I'm looking for

As a mid-level Data Engineer, I'm looking for a role where I can build and optimize data pipelines and contribute to data-driven decision-making. I'm interested in opportunities that allow me to leverage my skills in Python and AWS to solve complex data challenges.

At Infosys, I design and deploy Agentic AI workflows that triage incidents, summarize logs, and trigger routine resolutions, reducing turnaround time and manual intervention.

I also build and validate Python machine learning models for credit risk scoring and fraud detection. By analyzing multi-million-record datasets with SQL and Python, I’ve identified revenue leaks and process inefficiencies, contributing insights that generated $200K+ in annual cost savings.

In projects, I built a Random Forest pipeline to predict accident severity using government iRAD data and created Power BI heatmaps of high-risk locations along NH-65. I also compared Decision Tree, SVM, and Naive Bayes models to predict student employability.

Experience

Work history, roles, and key accomplishments

Current

Associate Analyst

Current

Infosys

Jun 2024 - Present (2 years 4 months)

Designed and deployed Agentic AI workflows using LLMs to autonomously triage incidents and summarize logs. Built machine learning models for credit risk scoring and fraud detection, and optimized SQL queries and data pipelines to improve operational efficiency.