Narender Kumar

• Transformed raw data into actionable insights by utilizing advanced statistical methods, effectively guiding business strategy with empirical evidence.
• Optimized data-driven decision-making by applying advanced statistical techniques to analyze large datasets.
• Managed multiple simultaneous projects while maintaining high quality standards and meeting strict deadlines under pressure situations.
• Translated business requirements into data-driven solutions, providing value-added insights that directly contributed to the organization''s strategic goals.

Collection Models (Predictive Modeling and Deployment with Azure)-As part of an internal tool, developed machine learning models to predict customer personas like high risk and low risk for unpaid bills. Subsequently, used MLOps (Azure DevOps and Azure services) to create a tool that enables clients to upload their customer data regularly and receive individualized predictions. These predictions empower clients to employ services like automated calls and messages for effective reminders about unpaid bills.

Credit Card Bills and Internet Service Bills Collection Optimization–

• Developed cutting-edge recommendation engine for forecasting customer issues, resulting in enhanced issue resolution and improved customer satisfaction.
• Built predictive model for credit card payment propensity, contributing to a 25% reduction in late payments and 15% increase in on-time payments.
• Transformed processing pipeline to Azure Function Apps and Container Instances, achieving impressive 80% reduction in processing time.
• Streamlined prediction process by migrating preprocessing and prediction to server, significantly enhancing overall efficiency and performance.

SKILLS – Machine Learning, Statistics, Azure DevOps, Azure, Docker, Flask

Interaction Insights of customer (NLP using generative ai(ChatGpt) and Azure)

• Created a tool capable of extracting insights from text data in six different languages. specifically focusing on chat conversations between customer service agents and customers.
• This tool categorized text data into four key categories - Agent, Process, Service, and Technology - and predicted customer loyalty, churn, journey stage, effort, and intent behind customer contacts using ChatGPT API for advanced language processing.

SKILLS – NLP(Natural Language Processing), Azure, OpenAI, Mysql

• Researched, designed and implemented scalable applications for data extraction, analysis, retrieval and indexing
• Compiled, cleaned and manipulated data for proper handling.
• Developed ML algorithms to analyze huge volumes of historical data to make predictions
• Studied new technologies to support machine learning applications
• Technologies Used: Python, Django, AWS, Machine Learning, Deep Learning, mySQL, Circle CI, HTML,CSS, Docker, Heroku