Vineet Kumar

Lead data scientist on a prominent consulting client's Talent data initiative, employing advanced NLP models, constructing robust data pipelines, and executing in-depth Data Analysis using AWS Services such as Sagemaker, Glue, Lambda, Step-functions, and S3. Developed and implemented cutting-edge models including a Company Name Standardization model, a skill embedding model for predicting taxonomy and similar skills, and a Role Title Standardization model. Optimized Data Science model implementation, slashing inference time from 30 hours to 1.5 hours. Experience in MLOps includes creating end-to-end model pipelines using Sagemaker Studio and deploying models in production environments. Ventured into Data Engineering as well, by leading the development of a robust data pipeline, increasing data handling capacity by fourfold. Currently leading the development of a comprehensive data quality framework. Contributed to talent acquisition efforts through conducting interviews and collaborating with cross-functional teams.

Manage, architect and analyze big data in order to build data driven business insights and high impact data models to generate significant business value. Translate business issues into specific requirements to develop analytic solutions and identify appropriate data to support the solution.

As part of Marketing Mix exercise, conducted revenue analysis for various promotion channels and utilized regression models to predict optimal spend for the following year's marketing activities. Performed Test & Control analysis to evaluate the impact of promotional events on client objectives. Developed a Recommendation system integrated with Axtria's Commercial Excellence Product on Salesforce, facilitating daily business operations and client support.

Analyzed transaction data for a renowned US bank project, generating insightful summaries regularly for client review. Utilized browsing data analysis to identify potential bank customers, contributing to client marketing strategies.

Secured Bachelor of Technology in Computer Science with Distinction.