Lead Consultant - ML/AI

• Jun 2022 - Present

Currently working with organizations across middle east for various AI/ML use cases as a Data Science SME - Worked with a semi government organization for succesfully designing, developing and deploying B2B Customer Segmentation and Customer Churn Technology used: Azure Databricks, PowerBI, Machine Learning, Clustering, Classification, MLOps Currently working with organizations across middle east for various AI/ML use cases as a Data Science SME - Worked with a semi government organization for succesfully designing, developing and deploying B2B Customer Segmentation and Customer Churn Technology used: Azure Databricks, PowerBI, Machine Learning, Clustering, Classification, MLOps

Mentor - PGP AI/ML

• Feb 2019 - Present

Mentor for the online batches of the AI/ML program offered by Great learning - Responsible for content delivery - Code clarification - Use case elucidation - Share industrial experience of various real world problems - Guide learners through successful capstone project thought process, data understanding and validation, implementing AI/ML solutions and deployment. Mentor for the online batches of the AI/ML program offered by Great learning - Responsible for content delivery - Code clarification - Use case elucidation - Share industrial experience of various real world problems - Guide learners through successful capstone project thought process, data understanding and validation, implementing AI/ML solutions and deployment.

Lead Consultant

• Mar 2021 - May 2022

Principal engineer Machine Learning

• Oct 2019 - Feb 2021

Yantriks is a fulfilment based OMS/EMS for retail. Member of the core team of data science in the Yantriks. Our team was primarily responsible for the entire data science operation. We built models to predict sales, stockout dates, markdown prediction and forecasted replenishment along with other objectives like estimated date of delivery using SOTA DL and ML frameworks using tensorflow Contribution: - Built the replenishment forecast for all the items across locations - Generated historical replenishment feed using inventory data, when the actual replenishments were not available. - Explored and implemented classical ML as well as Deep learning (RNN/LSTM/GRU) based approaches - Built and validated data availability to solve a portion of the EDD via predicting the time it takes to process one item at a location based on historical data. - Explored the given data to construct features and approach to solve via ML/DL approaches Show less

Senior Analyst

• Mar 2018 - Oct 2019

Part of initial pilots of Latentview venturing from service based to product based Product: Smart Insights - contributed significantly to the team with aspects of ML knowledge on text based model prediction - designed and implemented solution of final scoring algorithm Product: Casper Casper was a text based conversational assistant that was programmed to respond to native language text queries with simple and insightful charts - contributed to the back end compiler team on the query engineer - took ownership and developed the recommendation model for the next query suggestion based on business rules Show less

Project Manager, Data Science

• Sep 2017 - Feb 2018

Data Scientist

• Aug 2017 - Sep 2017

Managing Partner

• Sep 2010 - Oct 2015

All deployment and execution of projects both voice and non voice, understanding project scope and analysis of requirements, HR management.

Managing Partner

• Sep 2010 - Oct 2015

Deployment and execution of all processes, both voice and non voice. Business expansion and business development manager