KRKumar Ravi
@kumarravi
Technical Architect (Data Science) at IoT WoRKS, HCL Technologies
Greater Noida West, Uttar Pradesh, India
Dr. Kumar Ravi is a seasoned data science professional holding a PhD specializing in Natural Language Processing. He possesses over 9 years of experience in Data Science, Machine Learning, and Deep Learning across sectors including Banking, Manufacturing, and Health Care. He has published over 20 research papers and has experience leading teams of data engineers and data scientists.
Experience
Technical Architect (Data Science)
IoT WoRKS, HCL Technologies
Prediction of unplanned visit to service Siemens Atellica System for preventive maintenance. Prediction of service hours demand for providing premium service support. Forecasting of CO2 emission from XBOX gaming devices for 125 countries. Users Volume Forecasting to help in marketing and campaign strategy. Tickets Volume Forecasting to allocate optimum work force for call handling. Analyzing petabytes of data related to Outlook, Groups, and Bookings App to determine customer churn and migration. Prediction of help alert based on customer feedback obtained on onboarding wizard. Prediction of ticket escalation at different tiers. Determining customer pain points from customer feedback obtained on different products, to improve Chat Bot performance. SLA Breach prediction to improve customer experience and determining probable factors affecting revenue. Customer CSAT scoring to quantify customer experience for different products. Developed multiple deep learning models for age estimation and gender prediction using facial images. Analysis of radar data of retails store to gain important insights. Pool detection from satellite images using CNN.
Senior Associate-Analytics Services (Data Scientist)
TATA Insights and Quants
Thermal coal price prediction based on monthly granular data. Performed strip breakage prediction using gigabytes of sensor data by employing gradient boosting machine. Recommendation of the best vendors are performed based on the profile and performance of the vendors in utilities sector. Identifying repeated tickets based on consumers’ profile and complaint logging patterns. Further, recommending several changes in the CRM system to record repeated tickets more efficiently. Performed freight price prediction using multi-variate time series analysis. Forecast price of coking & thermal coal using multi-variate time series analysis.
Research Fellow
Centre of Excellence in Analytics, IDRBT
Churn prediction in banking and health care sector. Performed credit card fraud detection using one-class classification method. Performed loan default prediction for different Indian Banks. Sentiment classification of gigabytes of review data on Hadoop. Performed cross-selling using association rule mining in banking sector. Performed customer segmentation using recency, frequency and monetory analysis.
Lecturer
S. Sinha College
Taught subjects including C, C++, Java, Visual Basic, Data Structures, Algorithm, Software Engineering, and Operating System.
Education
University of Hyderabad
Ph.D. (Computer Science)
Computer Science
Pondicherry University
M. Tech. (Computer Science & Engineering)
Computer Science & Engineering
Indira Gandhi National Open University
Master in Computer Applications
Computer Applications
Indira Gandhi National Open University
Bachelor in Computer Applications
Computer Applications