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Click here or scroll down to respond to this candidatebeamjobs.comCandidate's Name
Senior Data Scientist (Valid US Visa- L2S )EMAIL AVAILABLE PHONE NUMBER AVAILABLE USAA Blvd.,Apartment no.Street Address
https://LINKEDIN LINK AVAILABLEshaw-ph-d-8b677a1a/https://scholar.google.co.in/citations?hl=en&user=-DdO04UAAAAJ&view_op=list_works&authuser=1&sortby=pubdateWORK EXPERIENCESenior Chief Engineer (Senior Research Associate)Samsung Research Institute Bangalore, IndiaApril 2022 - Nov 2022 Bangalore, IndiaDeveloped deep learning model building using transfer learning and their PoC on PC and mobile devicesDrafting research journal papers and conference papers in top-tier conferences ICASSP, ICML, CVPR and NeurIPsImplemented various time series forecasting techniques and computer vision algorithms using deep learningSupervising team of 17 machine learning engineers in implementing state-of-the-art ML algorithmsSupervising 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 March2022Hyderabad, ANDHRAPRADESHHVAC product data analysis in the cloud (Azure, AWS). Training various machine learning models with data collected from IoT devices in the Azure ML studio cloudEstablished 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 stakeholdersDevelop machine learning based Predictive Maintenance(PdM) using Digital Twin (DT) need for region-based HVAC devices to reduce risk factor and down timeTested algorithms for bugs and operating speed, fixing bugs and documenting processes to increase efficiency by 18% Data ScientistBusiness CentralJuly 2018 - Aug 2020 Hyderabad, ANDHRA PRADESHUsing data to optimize sales opportunities, identify support issues and understand customersRecommending sales offers through analysis of customer behavior to maximize conversionPredicting revenue and developing insights to prevent customer churn Ensuring customer satisfaction through timely deployment of resources and delivery of outcomesCAREER OBJECTIVEI want to use my data science knowledgeacross different industry verticals andfunctions. I am a data scientist with 7 yearsof experience in data mining usingmachine learning algorithms and softcomputing on various datasets. Capable ofmanaging 7 years of research experienceand nearly 3 years of industry experience.EDUCATIONDoctor of Philosophy(PhD.)Electrical Engineering (Specializationin AI and ML)Indian Institute of TechnologyKharagpur, Kharagpur, West Bengal,India2013 - 2018Kharagpur, West Bengal,IndiaAwardsAwarded with ACM W Women in SmartComputing in Dec 2017 organized byKIIT UniversityAwarded Institute travel grant forpresenting the paper at EUSIPCO 2017flagship conferenceAwarded with IEEE Women inEngineering for WIECON 2016Awarded QIP Fellowship 2013 IITKharagpur, IndiaBest paper award in IEEE CAST Dec 2016COEP, PuneMore than 30 Internationally publishedjournals and conference papers.Two internationally published books in"Data analytics" and "Biomedicalapplication"Master of Technology(M.Tech)Instrumentation and ElectronicsEngineering(Specialization in DataAnalytics, Signal Processing)beamjobs.comBuild and develop analytical models working alongside a strong team of Leads, Analysts, Architects to deliver priority outcomes in alignment with the strategic roadmap for servicesAct 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 governanceApply advanced analytics concepts towards rich and bold insights PROJECTSFace Anti Spoofing DL model developmentSenior Chief Engineer(Senior Research Associate)May 2022 - June 2022Computer vision based DL model building for Face Anti spoofing systemValidation 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 DeepLearning model developmentSenior Chief Engineer(Senior Research Associate)July 2022 - August 2022Develop AI transfer learning model for the detection of counterfeit currencyValidate, testing and hyper parameter tuning to obtained the optimized modelCheck on the performance and continuous update and fine tune the model both PC and android app sideDetection of Driver's loss of Attention using DLmodelSenior Chief Engineer(Senior Research Associate)August 2022 - October 2022Build 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 MakerClassification ModelSenior Data ScientistDec 2020 - Jan 2021AWS Sagemaker multiclass classification modelPre-trained Transfer learning model design and optimize the HP Predictive Maintenance of working chillersSenior Data ScientistSeptember 2020 - January 2021Complete understanding of the HVAC domainDesign and develop the Digital twin using different clustering techniquesJadavpur University, West Bengal,India2008 - 2010West Bengal, IndiaBachelor of Engineering (B.E)Electronics and InstrumentationEngineeringSambalpur University, Odisha, India2001 - 2005Burla, Odisha, IndiaSKILLSPython (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: Logisticand Linear regression, decision trees, AllClustering, and Classification techniquesWindows Power-Shell(1.5 years)AWS and Microsoft Azure CloudComputingProficiency with AI/ML techniques withhands-on model building and solutionexperience using algorithms(Regression, Logistic Regression, SVM,Random Forest, Decision Trees, K-Means,Naive Bayes, Clustering, etc.), and DeepLearning (CNN, RNN, LSTM, BeamSearch, etc.), NLP, NLG.CERTIFICATIONSData Analytics By IIT RoorkeeAWS with ML and Sage MakerCertified Data Scientist By IIT MadrasAdvanced Python certification byLinkedIn LearningDP-100, Microsoft Azure TrainedDP-200, Microsoft Azure TrainedIntroduction to Deep Learning & NeuralNetworks with KerasAdvanced Learning Algorithms offeredby Deeplearning.aiPUBLICATION LISTBooks, Top Journals and Research Articlesbeamjobs.comPredictive Analysis of Sales ForecastData ScientistApril 2018 - August 2018Regression Analysis based developing predictive model using Python 3XUnderstanding the complete customer base and sharing insights for the customer demandsCustomer Retention AnalysisData ScientistSeptember 2018 - Dec 2019To retain the ideal customer, understand the customer base and classify the ideal and non ideal customer.Customer's Churns Prediction using AI & MLData ScientistDec 2019 - Feb 2020Applying different machine learning models have been designed to determine the best customers' features and their demographic projections.Microcontroller Based PatientMonitoring System Using WirelessSensor, ISBN-13: 978-3659401794, LAPLAMBERT Academic PublishingBlack Tea Quality Evaluation usingElectronic Nose & Electronic Tongue,ISBN-13: 978-3843394741, LAP LAMBERTAcademic PublishingShaw, L., & Routray, A. (2021). Brain StateClassification with Group l1-norm SparsePDC as Novel Features for EEG. IEEESensors Journal.Shaw, L., & Routray, A. (2020). PatternAnalysis of Brain Functional ConnectivityParameters After Removal of ArtifactualMotifs from EEG During Meditation. InAdvanced Computing and IntelligentEngineering (pp. 353-361). Springer,Singapore.Shaw, L., & Routray, A. (2020, November).EEG Traced Microstates Detectionduring Meditation-A State ofConsciousness. In 2020 IEEE 15thInternational Conference on Industrialand Information Systems (ICIIS) (pp. 253-257). IEEE.Shaw, L., & Routray, A. (2018). A newframework to infer intra-and inter-brainsparse connectivity estimation for EEGsource information flow. IEEE SensorsJournal, 18(24), PHONE NUMBER AVAILABLEShaw, L., D. Rahman, and A. Routray,Highly efficient compression algorithmsfor multichannel EEG, IEEE Trans.Neural Syst. Rehabil. Eng., vol. 26, no. 5,2018. (DOI: 10.1109/TNSRE.PHONE NUMBER AVAILABLEShaw L. and A. Routray, Topographicalassessment of neurocortical connectivityby using directed transfer function andpartial directed coherence duringmeditation, Cogn. Process., vol. 19, no. 4,2018. DOI: 10.1007/sPHONE NUMBER AVAILABLEShaw, L., A. Routray, and S. Sanchay, "Arobust motifs based artifacts removaltechnique from EEG." BiomedicalPhysics & Engineering Express 3.3 (2017):035010, IOP Science.Shaw, L.; Mishra, S. and Routray, A,Generalized orthogonal partial directedcoherence as a measure of neuralinformation flow during meditation,Lecture notes in Bioengineering, BookTitle Advancement of medicalelectronics, Springer India, pp.137 148,2015. (Book Chapter). |
