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Sayandeep LahaSL
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Sayandeep Laha

@sayandeeplaha

Data Scientist at Cognizant who deployed a multi-agent Accounts Payable workflow that cut processing time from 40–50 minutes to 2–3 minutes per case.

India
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At Cognizant, I developed and deployed an end-to-end Agentic AI solution for Accounts Payable uploads. Its multi-agent workflow for document processing and validation reduced processing time from 40–50 minutes to 2–3 minutes per case.

At TCS, on supply chain applications for Tata Steel Europe, I planned and scheduled work and translated client requirements into PL/SQL and Azure-based solutions. I also supported system changes, data analysis, and incident resolution.

At TCS, on Johnson & Johnson work, I configured Camstar MES workflows for medical device manufacturing and handled SQL-based data work. I also applied AWS solutions and EDA techniques and prepared test documentation for regulatory compliance.

As a Jr. Machine Learning Engineer at Omdena, I developed sentiment analysis and recommendation systems for an AI-powered online marketplace and contributed to an EV charging-pattern detection algorithm. I’ve also built personal AI products, including a text summarizer using Hugging Face Transformers and Databricks, and Release Captain for the IBM BOB 2.0 Hackathon.

Experience

Work history, roles, and key accomplishments

Education

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IM

Institute of Engineering and Management

Bachelor of Technology, Electronics & Communication Engineering

2017 - 2021

Grade: 7.80/10.00 DGPA

Pursued a Bachelor of Technology in Electronics & Communication Engineering, achieving a DGPA of 7.80/10.00.

Tech stack

Software and tools used professionally

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