Utkarsh Verma

Manage a team of four to work closely with clients to understand their business objectives, challenges, and data needs in developing customized ai/ml solution for text classification to inform business decisions and solve problems. Created a deep learning NLP model in python using hugging face transformers and classification techniques to extract customer insights into profile buckets for each country and SBU level. Identify risk patterns from the managerial reports using NLP techniques, identify intensity of the risk using sentiment scores at each sentence and validating the results using multiple data sources and reports.

Contributed to global analytic rating’s team to create, manage and monitor commercial report, ad-hoc reports, dashboards and automation of daily / weekly reports using r, python. Created NLP based sentiment analysis tracker on customer mail using python and salesforce to analyze customer experience. Supported data and analytics team to create business reports with power bi dashboards.

Responsible for creating and managing credit risk predictive model / classification model to identify potential customers. Created a sentimental analysis and text mining application to analyze social media noise of centrum tweets classified it into emotion buckets.

Led a team of two, built and oversaw automated data pipeline for marketing related jobs using SQL, hive Imphala, google big query, spark. Responsible for developing and deploying ml models, including customer segmentation model, sales lead scoring models, and marketing cross sell model. Developed, owned and managed API integration with google ads, Facebook ads manager, google analytics/google cloud storage.

Technical learning included classical machine learning, statistical models (Random Forests, XGBoost, etc.), Deep learning models (LSTMs, BERT, CNNs, Transformers), and programming languages (Python with PySpark interface). Functional learning covered Business Analysis, Marketing Analytics, Credit Risk Modelling, and Financial Analytics.

Technical learning included Application Science, Big Data Management, Project Management, and Network Security.