Data Scientist Research Associate

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LAXMI SHAW

Senior Data Scientist (Valid US Visa- L2S )

*************@*****.*** +1-210-***-**** 4835 USAA Blvd.,Apartment no.3308, San Antonio,TX-78240

https://www.linkedin.com/in/dr-laxmi-

shaw-ph-d-8b677a1a/

https://scholar.google.co.in/citations?

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WORK EXPERIENCE

Senior Chief Engineer (Senior Research Associate)

Samsung Research Institute Bangalore, India

April 2022 - Nov 2022 Bangalore, India

Developed deep learning model building using transfer learning and their PoC on PC and mobile devices

Drafting research journal papers and conference papers in top-tier conferences ICASSP, ICML, CVPR and NeurIPs

Implemented various time series forecasting techniques and computer vision algorithms using deep learning

Supervising team of 17 machine learning engineers in implementing state-of-the-art ML algorithms

Supervising 3 interns and 5 Research scholars for their project, review, and completion.

Senior Lead Engineer (Data Analytics Team)

UTC-HRDC (Carrier India)

7th September 2020 - 31st March

2022

Hyderabad, ANDHRA

PRADESH

HVAC product data analysis in the cloud (Azure, AWS). Training various machine learning models with data collected from IoT devices in the Azure ML studio cloud

Established the end-to-end ETL data pipeline in MS Azure services and implementation of AI+ML models in Azure ML and ML studio Sharing analysis results with better visualization and summary report to the product manager and stakeholders

Develop machine learning based Predictive Maintenance(PdM) using Digital Twin (DT) need for region-based HVAC devices to reduce risk factor and down time

Tested algorithms for bugs and operating speed, fixing bugs and documenting processes to increase efficiency by 18% Data Scientist

Business Central

July 2018 - Aug 2020 Hyderabad, ANDHRA PRADESH

Using data to optimize sales opportunities, identify support issues and understand customers

Recommending sales offers through analysis of customer behavior to maximize conversion

Predicting revenue and developing insights to prevent customer churn Ensuring customer satisfaction through timely deployment of resources and delivery of outcomes

CAREER OBJECTIVE

I want to use my data science knowledge

across different industry verticals and

functions. I am a data scientist with 7 years

of experience in data mining using

machine learning algorithms and soft

computing on various datasets. Capable of

managing 7 years of research experience

and nearly 3 years of industry experience.

EDUCATION

Doctor of Philosophy(PhD.)

Electrical Engineering (Specialization

in AI and ML)

Indian Institute of Technology

Kharagpur, Kharagpur, West Bengal,

India

2013 - 2018

Kharagpur, West Bengal,India

Awards

Awarded with ACM W Women in Smart

Computing in Dec 2017 organized by

KIIT University

Awarded Institute travel grant for

presenting the paper at EUSIPCO 2017

flagship conference

Awarded with IEEE Women in

Engineering for WIECON 2016

Awarded ‘QIP’ Fellowship 2013 IIT

Kharagpur, India

Best paper award in IEEE CAST Dec 2016

COEP, Pune

More than 30 Internationally published

journals and conference papers.

Two internationally published books in

"Data analytics" and "Biomedical

application"

Master of Technology(M.Tech)

Instrumentation and Electronics

Engineering(Specialization in Data

Analytics, Signal Processing)

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Build and develop analytical models working alongside a strong team of Leads, Analysts, Architects to deliver priority outcomes in alignment with the strategic roadmap for services

Act as an evangelist and catalyst for BI & Analytics innovation Manage the portfolio for BI & Analytics using BI tools. Partner with decision science team and stakeholders on monthly governance

Apply advanced analytics concepts towards rich and bold insights PROJECTS

Face Anti Spoofing DL model development

Senior Chief Engineer(Senior Research Associate)

May 2022 - June 2022

Computer vision based DL model building for Face Anti spoofing system

Validation and testing of DL model and its parameter optimization Continuous model update and hyper parameter optimization Validation, testing and its implementation both in PC and mobile side Counterfeit Currency Detection using Deep

Learning model development

Senior Chief Engineer(Senior Research Associate)

July 2022 - August 2022

Develop AI transfer learning model for the detection of counterfeit currency

Validate, testing and hyper parameter tuning to obtained the optimized model

Check on the performance and continuous update and fine tune the model both PC and android app side

Detection of Driver's loss of Attention using DL

model

Senior Chief Engineer(Senior Research Associate)

August 2022 - October 2022

Build computer vision based DL model for driver drowsiness detection Implementation of DL model as an Android app in mobile device Build an End-to-End AWS Sage Maker

Classification Model

Senior Data Scientist

Dec 2020 - Jan 2021

AWS Sagemaker multiclass classification model

Pre-trained Transfer learning model design and optimize the HP Predictive Maintenance of working chillers

Senior Data Scientist

September 2020 - January 2021

Complete understanding of the HVAC domain

Design and develop the Digital twin using different clustering techniques

Jadavpur University, West Bengal,

India

2008 - 2010

West Bengal, India

Bachelor of Engineering (B.E)

Electronics and Instrumentation

Engineering

Sambalpur University, Odisha, India

2001 - 2005

Burla, Odisha, India

SKILLS

Python (Numpy, Pandas, Scikit Learn,

matplotlib, Tensorflow, Keras, Pytorch,

tflite)(4.5 years))

Matlab(7 years)

R programming(2 years)

SQL,MySQL and PostgreSQL(3 years)

Excel/ Google Sheet(7 years))

Microsoft Azure Data Analytics(2 years))

Data visualization tools:Power BI (3years)

and Tableau(2 years)

Machine Learning Modelling: Logistic

and Linear regression, decision trees, All

Clustering, and Classification techniques

Windows Power-Shell(1.5 years)

AWS and Microsoft Azure Cloud

Computing

Proficiency with AI/ML techniques with

hands-on model building and solution

experience using algorithms

(Regression, Logistic Regression, SVM,

Random Forest, Decision Trees, K-Means,

Naive Bayes, Clustering, etc.), and Deep

Learning (CNN, RNN, LSTM, Beam

Search, etc.), NLP, NLG.

CERTIFICATIONS

Data Analytics By IIT Roorkee

AWS with ML and Sage Maker

Certified Data Scientist By IIT Madras

Advanced Python certification by

LinkedIn Learning

DP-100, Microsoft Azure Trained

DP-200, Microsoft Azure Trained

Introduction to Deep Learning & Neural

Networks with Keras

Advanced Learning Algorithms offered

by Deeplearning.ai

PUBLICATION LIST

Books, Top Journals and Research Articles

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Predictive Analysis of Sales Forecast

Data Scientist

April 2018 - August 2018

Regression Analysis based developing predictive model using Python 3X

Understanding the complete customer base and sharing insights for the customer demands

Customer Retention Analysis

Data Scientist

September 2018 - Dec 2019

To retain the ideal customer, understand the customer base and classify the ideal and non ideal customer.

Customer's Churns Prediction using AI & ML

Data Scientist

Dec 2019 - Feb 2020

Applying different machine learning models have been designed to determine the best customers' features and their demographic projections.

Microcontroller Based Patient

Monitoring System Using Wireless

Sensor, ISBN-13: 978-365-***-****, LAP

LAMBERT Academic Publishing

Black Tea Quality Evaluation using

Electronic Nose & Electronic Tongue,

ISBN-13: 978-384-***-****, LAP LAMBERT

Academic Publishing

Shaw, L., & Routray, A. (2021). Brain State

Classification with Group l1-norm Sparse

PDC as Novel Features for EEG. IEEE

Sensors Journal.

Shaw, L., & Routray, A. (2020). Pattern

Analysis of Brain Functional Connectivity

Parameters After Removal of Artifactual

Motifs from EEG During Meditation. In

Advanced Computing and Intelligent

Engineering (pp. 353-361). Springer,

Singapore.

Shaw, L., & Routray, A. (2020, November).

EEG Traced Microstates Detection

during Meditation-A State of

Consciousness. In 2020 IEEE 15th

International Conference on Industrial

and Information Systems (ICIIS) (pp. 253-

257). IEEE.

Shaw, L., & Routray, A. (2018). A new

framework to infer intra-and inter-brain

sparse connectivity estimation for EEG

source information flow. IEEE Sensors

Journal, 18(24), 101**-*****.

Shaw, L., D. Rahman, and A. Routray,

“Highly efficient compression algorithms

for multichannel EEG,” IEEE Trans.

Neural Syst. Rehabil. Eng., vol. 26, no. 5,

2018. (DOI: 10.1109/TNSRE.2018.2826559)

Shaw L. and A. Routray, “Topographical

assessment of neurocortical connectivity

by using directed transfer function and

partial directed coherence during

meditation,” Cogn. Process., vol. 19, no. 4,

2018. DOI: 10.1007/s10339 018 0869 2

Shaw, L., A. Routray, and S. Sanchay, "A

robust motifs based artifacts removal

technique from EEG." Biomedical

Physics & Engineering Express 3.3 (2017):

035010, IOP Science.

Shaw, L.; Mishra, S. and Routray, A,

“Generalized orthogonal partial directed

coherence as a measure of neural

information flow during meditation,”

Lecture notes in Bioengineering, Book

Title Advancement of medical

electronics, Springer India, pp.137 148,

2015. (Book Chapter).

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