Richa Jain

About Richa Jain

I an an experienced Applied MLE and presently working at R1 RCM for R37 Gen AI Labs. Previously worked at Advata(formerly known as Kensci) in HealthCare and AI domain. Previously worked at SAP on challenging predictive problems using machine learning. I have developed models for prediction of customer churn, free customer conversion to paid customers, NLP based project on company name classification and also developed Proof-of-Concept Slack application to connect to Tableau reports.I hold MS - Computer Science with major in Data Science student from University of Washington. I have worked on several machine learning, data science, NLP, IoT projects. I am well versed with ML end to end pipeline and algorithms like Regression, Decision tree, Random forest, SVM, XGBoost, CNN, RNN-LSTM, KNN and Kmeans.In Summer 2018 I won Microsoft Azure IoT Hackathon 2018 and also published a poster in 2018 Conference. I was also 1% off from the top score in Mckinsey Online Hackathon held in July 2018. In Fall 2018, I worked as Data Science Intern at Wunderman (a WPP company) where I am worked on a proof of concept on Emotion Detection of ChatBot Conversations and deployed the LSTM based model on Azure cloud. I have around 4 years of work experience where I worked on data analysis, product development and management.I did my undergrad in Computer Science from University of Mumbai, India and I also hold Masters in Business Management from Narsee Monjee Institute of Management Studies, Mumbai.I aspire to work for roles which are data driven and find solutions to business problems using data science technologies.If interested in connecting please email me - r••••••••@gmail.com

Experience

1. Applied Data Scientist

   R1 RCM

   Jul 2024 — Present · US

Education

• K J Somaiya Insititute of Engg. & IT

  BE, Computer Science

• SVKM's Narsee Monjee Institute of Management Studies (NMIMS)

  Master of Business Administration - MBA, Business management, marketing, finance, project management, people management

• University of Washington

  Master's degree, Computer Science

Skills

• Python
• Crm
• Leadership
• IT Operations
• Team Management
• Strategy
• Sql
• Microsoft Word
• Sdlc
• Market Research
• Pl/Sql
• C
• Microsoft Office
• Product Development
• Java
• Requirements Analysis
• Microsoft Excel
• Data Analysis
• Spss
• Project Management
• Microsoft Power Point
• Advanced Excel
• C++
• Business Analysis
• Tableau
• Research
• Strategic Planning
• Sharepoint
• Training
• Core Java
• Analytics
• Keras
• Business Strategy