Vinayak Karande

Responsible to build data science pipelines to improvise business processes at GSL group. Implement end-to-end profitable Deep learning model using collective intelligence. Effectively translate results to Power Bi dashboard and present to leadership team. Automate Model selection using Tree-based Pipeline Optimization.

Designed and conceptualized NLP based supervised classification (Machine Learning on Text data) to enrich Line of Business data. Implemented python web scraping and automation solutions with 90% accuracy, redefining data acquisition strategy for the organization thus saving cost and efforts. Developed Data Visualization Dashboards in Power Bi to increase profitability of Company products. Deployed solutions on AWS/Azure platforms. Worked with economic experts on fortnightly newsletter publications providing inputs on data insights.

Worked on supervised machine learning algorithms to solve classification and regression problems using Decision trees, Random Forest, Regression, Principal Component Analysis (PCA) and Partial Least square algorithms. Increased profitability for clients using Natural language processing (NLP) and generate on fly summary. Experience deploying machine learning models in production environments using Docker and AWS Sagemaker.

Design and develop advanced analytics and BI solution to establish key performance indicators and metrics for Integrated Dimensional model to analyze life cycle of insurance policy.

Contributed in big scale data transformation environment that involved ETL development using Agile Framework.