Richa Jain

[email protected] | +1-(206)-953-3168 |www.linkedin.com/in/richajain44| @github : richajain44

Graduate Data Science student at University of Washington, looking for full time opportunities starting March 2019 Python, R, Tableau, SPSS, Excel, Git, Keras, SQL, Linux, NLP Techniques, Decision tree, Random Forest, SVM, KNN, CNN, RNN, Regression, Clustering, Unsupervised Hadoop, Map-Reduce, Azure functions, AWS Sagemaker, AWS S3, AWS EC2, Javascript, RESTful API, Java

Oct’18-Present Oct’18 -Present ▪ ▪

Implementing emotional classification of ChatBot conversations based on LSTM and Word2Vec embedding Model to be deployed on Azure deployment environment  June’17 -Sep’17  -Sep’17 

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Design and built a KMeans model by using fuzzy matching to extract medical terms from customer insights data using unsupervised and Natural language processing (NLP) Obtained salience score per word for each customer and then applied KMeans Feb’17 - Aug’17 

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Created a dataset of accelerators and incubators across the world which work in social impact domain Validated and analyzed data for more insights and created dashboard using  June’14 June’14- April’16

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Developed  in  to understand the current training initiatives vs employee performance Performed Gap Analysis and saved $0.5M from external tool Conceptualized,  and  an e-learning portal Sep’10–  Jun’12  Jun’12

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Developed code in  for banking software product catering to CRM-Support module based on 3-tier architecture Used  for data extraction and submission to the backend

UniversityofWashington Sept’17 -Present Coursework:InternetofThing Coursework:InternetofThings,Informatio s,InformationRetrieval,Mac nRetrieval,Machinelearning, hinelearning,Naturallangua Naturallanguageprocessin geprocessing,Distributed g,Distributed systems,AdvancedAlgorithms

NarseeMonjeeInstituteofManagementStudies,India  

June’12-Apr’14

Coursework Coremanagementcourses Coremanagementcourses,Statisticaltech ,Statisticaltechniquesfordeci niquesfordecisionmaking,Busi sionmaking,BusinessAnalytics nessAnalytics

UniversityofMumbai,India June’06 -June’10

Developed end to end Azure Serverless IoT prototype. Deployed ML module and developed 7 serverless functions that handled several use cases. (https://devpost.com/software/recycle-io-ek4pxz ) Applied summary statistical techniques, outlier detection, regression to understand the impact of chemical properties on wine quality Applied LSTM model on children story book on to generate text. Improved model’s performance by Develop Tableau dashboard, within education sector https://public.tableau.com/views/AyitiNowCorp_1/Dashboard1?:embed=y&:display_count=yes Collaborative, content and popularity filtering based Music Recommender System d eveloped on MSD dataset Develop model on MSD based on unsupervised technique using lexicons and ensemble of Naïve Bayes, Decision Tree and Random Forest algorithms Compared performance, built and trained several CNN models from scratch with accuracy of 67% to pre-trained VGG16 model with ▪ ▪ ▪ ▪

(https://devpost.com/software/recycle-io-ek4pxz )