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Krishanu B. is listed as Data Science Leader at Monere, based in Salt Lake City Metropolitan Area, United States. AeroLeads shows a matched LinkedIn profile for Krishanu B..
Krishanu B. previously worked as Co-Founder & Chief Data Officer at Monere and Manager, Data Science at Smart Energy Water. Krishanu B. holds Graduate Certificate, Data Science from Stanford University.
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Leading Data Science cutting edge Research, developing customer facing new AI products, Managing, and mentoring Data Science teamForward-thinking, self-driven, Data Science Leader with 15 years of extensive experience in Data Science, Machine Learning / Deep Learning, Data Architecture, Business Intelligence (BI) Architecture and Data AnalysisStarted as foundational member, performed cutting edge research, and developed and implemented customer facing AI products, such as Energy Disaggregation Utility Chatbot Usage fraud detection Missing Payment Prediction scoreOrganizational Leadership● Built a global data science team from scratch● Strategic Planning & Execution● Client Engagement and Support● Collaboration with Product teamTechnical Expertise● Data Science research ● AL Product Development● Machine Learning/Deep Learning● NLP/Chatbot● Data Analysis● Azure/AWS ● Business Intelligence● Data Warehouse
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Lehi, Utah, Us
We are developing non-invasive, point of care , AI driven solution for detecting Anemia .We are building image processing models using eyelid images for predicting blood hemoglobin (Hb) . Our model is performing better than human doctors and comparable with all other non-invasive methods .Website: www.monere.ai
Irvine, California, Us
Smart Energy Water (SEW) is a SaaS platform that helps utility (Electric, Water, Gas, Solar) customers. Our AI products help end customers and utility companies to save energy and money● Started as foundational member, hired, leaded and grow a team of 30+ data scientists for research, product development and implementation products to cloud and on-premises● Energy Disaggregation: Researched and developed ensembled (ML and DL) approach that can predict real time appliance level (HVAC, Refrigerator, Washing Machine etc.) energy consumption from IoT total usage (AMI meters) and identify inefficient appliances and recommend appropriate personalized products. Implemented for 10M+ customers● Utility Chatbot: Developed utility facing chatbot. Trained customers comments/complains in top of BERT/Roberta to classify comments and answer accordingly● Missing Payment Prediction: Predict probability of missing payment from payment and billing history of the customers to maximize revenue for utilities by time● Green Score: Developed scoring methodology by data analysis to identify heavy users/efficient users and recommending personalized energy efficient products and rate-plan
Austin, Tx, Us
InsideSales.com is a growing start-up company building Artificial Intelligence (AI) products forsales rep and sales managers and helping clients to accelerate growth for their sales team.• Developed end to end data pipeline/workflow learning (data cleaning, feature engineering,model development, model improvement) for predicting lead, contact, opportunity scoreusing spark and python machine learning modules.• Extensively used Amazon Web Service (AWS) products like EMR cluster, EC2, S3, Athena,Redshift, DynamoDB and production deployment using docker container in ECS and restAPI using Elastic beanstalk• Developed NLP -Named Entity Recognition (NER) modeling from scanned emails.• Developed collective intelligence using CRM (Salesforce and Microsoft Dynamics) data
Salt Lake City, Utah, Us
USANA Health Sciences is a Multi-level marketing (MLM) company manufactures mostly vitaminand nutritional supplements.• Build rank advancement model for associates using RNN/LSTM deep learning network• Designed and developed interactive application for Revenue Forecasting, used supervisedmodeling approaches like Random Forest, Gradient Boosting, SVM etc.• Extensive data analysis for understanding customer behavior, hypothesis testing etc. andused Unsupervised Learning (K-means, hierarchical clustering etc.)• Developed model and interactive application using R-shiny for finding fraud transaction• Extensive data analysis for new market potential, social media analysis and many otherprojects help company to make data driven decision
Salt Lake City, Utah, Us
• Design and development of OBIEE reporting for Finance, HR and Manufacturing.• Implement OBIA application and customize to accommodate business users requirement
Verisk Health was a healthcare risk management and healthcare analytics company• Fraud analytics - Analyzing healthcare claim data and perform fraud analytics.• DW Architecture - Design and development of Enterprise Data Warehouse project
Fremont, Ca, Us
VMware is the world leader in virtualization. I have worked mostly in Sales and Entitlement Datamart track under the Decision Support System (DSS).• Project Lead - Maintain full responsibility of new development project and monthly releases forSupport and Maintenance track for more than two years.• Data analyst- Extensive data analysis for understanding source data specially Oracle EBS andSFDC as well as in DW and Data Marts (Sales, Finance, Entitlement) using SQL & PL/SQL• Business System Analyst -Major responsibilities for this role are release management, creatingFunctional Requirement Documents (FRD), source system data analysis (SFDC, EBS).
• Extensive data analysis for analyzing source systems and for DW• ETL architect to design transformation of data from source to target and automated process.• Developed Informatica /ODI mapping and workflow.
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Krishanu B. works for Monere.
Krishanu B. is listed as Data Science Leader at Monere.
Krishanu B. is based in Salt Lake City Metropolitan Area, United States while working with Monere.
Krishanu B. has worked for Monere, Smart Energy Water, Insidesales.Com, Usana Health Sciences, and Verik Health.
You can use AeroLeads to view verified contact signals for Krishanu B. at Monere, including work email, phone, and LinkedIn data when available.
Krishanu B. holds Graduate Certificate, Data Science from Stanford University.
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