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Vinay Narayan Email & Phone Number

Technical Lead- Data Science at Tata Technologies
Location: Bengaluru, Karnataka, India 6 work roles 2 schools
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Current company
Role
Technical Lead- Data Science
Location
Bengaluru, Karnataka, India
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Vinay Narayan is listed as Technical Lead- Data Science at Tata Technologies, a with 8494 employees, based in Bengaluru, Karnataka, India. AeroLeads shows a matched LinkedIn profile for Vinay Narayan.

Vinay Narayan previously worked as Data Scientist at Legoai Technologies and Machine Learning Engineer at Datafoundry. Vinay Narayan holds Master'S Programme, Statistics And Machine Learning from Linköping University.

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Tata Technologies

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About Vinay Narayan

A curious and motivated individual exploring all I can in the field of Artificial Intelligence, Machine Learning & Data Science.

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Tata Technologies
Tata Technologies
Technical Lead- Data Science
detroit, michigan, united states
Employees
8494
AeroLeads page
6 roles

Vinay Narayan work experience

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Technical Lead- Data Science

Current

Bengaluru, Karnataka, India

Jun 2024 - Present

Data Scientist

Bengaluru, Karnataka, India

•Responsible for pipeline optimization & maintaining ownership of the product's source code.•Integrated parallel processing to the pipeline to maximize CPU cores usage resulting in reduced training & inference time by ~70%.•Introduced new modules and rules to reduce/skip feature extraction computation, resulting in overall reduction in execution time by 10-20%, depending on input data.•Fine-tuned OpenAI’s GPT3.5 for downstream tasks. Tested, validated and integrated into the pipeline resulting in increased accuracy by 30-50%, depending on benchmark datasets.•Fine-tuned BERT for multi-class classification task resulting in 90% accuracy.

Sep 2023 - Jun 2024

Machine Learning Engineer

Bengaluru, Karnataka, India

Projects:Face Detection and Face Recognition• Responsible for training, validating and deploying Face Detection and Face Recognition models on OpenCV AI Kit edge device using Intel's OpenVino toolkit framework.• Optimized neural networks and quantized network's learned weights/parameters resulting in reduction of model's memory footprint and decreased latency during model inference on edge devices.Text Summarization• Trained and validated transformer-based model for abstractive text summarization, for application in the legal domain.Optical Character Recognition• Implemented, tested and validated ML models for handwritten OCR to digitize COVID patient diaries using open-source models: KerasOCR, EasyOCR, TrOCR, Tesseract.Named Entity Recognition & Relation Extraction• Involved in building supervised ML models for Named Entity Recognition and Relation Extraction between named entities in medical domain: Spacy, SciSpacy, Rebel, BioBert.• Involved in implementation of Unsupervised learning methods for Named Entity Recognition.Information Extraction• Developed python script to extract data from unstructured PDF forms in the medical domain.Machine Translation• Trained, tested and validated Neural Machine Translation models for language translation between any languages.Medidata• Involved in maintenance of Centralized Statistical Analysis (CSA) software application codebase written in R language.• Involved in troubleshooting and maintenance of CSA application dashboard.• Responsible for performing CSA API health check on a weekly basis in Virtual Testing Environment using sample datasets.Other roles & responsibilities:• Mentored and guided interns and freshers in understanding their tasks and potential approaches to solve them.• Provided learning resources and personal guidance to help them understand Machine Learning concepts.• Communicated effectively with stakeholders, providing timely updates on the team's progress.

Nov 2021 - Sep 2023

Process Associate

Bengaluru, Karnataka, India

• Involved in data analysis on Automotive parts sales data and associate's KPIs to derive insights and drive business decisions. Performed pricing analysis for aftermarket and salvaged automotive parts during procurement and sales.• Analyzed customer requirements and created tailored quotations containing technical and commercial details, to meet their automotive part needs.• Voluntarily created technical training documents for new employees, contributing to their onboarding and development within the company.

Jan 2016 - Jan 2018

Application Engineer

Bengaluru, Karnataka, India

• Responsible for techno-commercial marketing of Special Purpose Machines and Industrial Automation Solutions. Travelling to existing and potential new client facilities to understand client requirements.• Designed and developed concepts for client's SPMs and Industrial Automation needs using AutoCAD and SolidWorks software applications.• Responsible for preparing quotations and validating team's quotations. Quotations contained concept design, estimation, costing and technical write-up for the whole project.

Feb 2015 - Dec 2015

Graduate Engineer Trainee

Bprex Pharma Packaging India Pvt. Ltd.

Bengaluru, Karnataka, India

• Facilitated the implementation of Warehouse Management Systems by serving as a liaison between the IT vendor and the company.• Trained company employees on how to use Warehouse Management Systems effectively, ensuring optimal utilization of the system.• Troubleshot issues within the Warehouse Management System software application using MySQL database and SQL querying language.

Jul 2014 - Feb 2015
Team & coworkers

Colleagues at Tata Technologies

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2 education records

Vinay Narayan education

FAQ

Frequently asked questions about Vinay Narayan

Quick answers generated from the profile data available on this page.

What company does Vinay Narayan work for?

Vinay Narayan works for Tata Technologies.

What is Vinay Narayan's role at Tata Technologies?

Vinay Narayan is listed as Technical Lead- Data Science at Tata Technologies.

Where is Vinay Narayan based?

Vinay Narayan is based in Bengaluru, Karnataka, India while working with Tata Technologies.

What companies has Vinay Narayan worked for?

Vinay Narayan has worked for Tata Technologies, Legoai Technologies, Datafoundry, Lkq India Private Limited, and Spm India Ltd.

Who are Vinay Narayan's colleagues at Tata Technologies?

Vinay Narayan's colleagues at Tata Technologies include Manisha Sihag, Shreyas B.S, Meenakshi Verma, Rajnikant Kadam, and Shivanshu Chahal.

How can I contact Vinay Narayan?

You can use AeroLeads to view verified contact signals for Vinay Narayan at Tata Technologies, including work email, phone, and LinkedIn data when available.

What schools did Vinay Narayan attend?

Vinay Narayan holds Master'S Programme, Statistics And Machine Learning from Linköping University.

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