Cisco
Engineer, Government College of Technology, Coimbatore
AbdulMajedRaja is a Data Scientist working in Cisco's Marketing Insights and Optimization (MIO) Team with close to a decade of industry experience. As part of MIO, AbdulMajed helps Cisco's Sales and Marketing Organizations drive Data-driven Business decisions. Prior to Cisco, He had various stints working for Startups and Public firms predominantly in Digital, Customer and Marketing Analytics space. He's also a Data Science trainer, mentor and tech writer with his works published on leading Data Science Websites. Abdul Majed is also a passionate Community Builder who leads Bengaluru R user group. AbdulMajed holds an Engineering Degree from Government College of Technology, Coimbatore.
Work:
CRAN - https://crantastic.org/authors/7108
Open Source - https://github.com/amrrs
Articles - https://medium.com/@amrwrites
Topic Title: Machine Learning Bias
Abstract: Machine Learning has grown up so much that almost every big enterprise has got an in-house team of Data Scientists and Machine Learning experts. Driven by strong demand in the market and also with increased volume of Data Science courses on MOOC, there's a huge workforce of fresh graduates and career-pivoted experienced professionals entering the domain of Data Science and Machine Learning. While this is a good thing to improve data literacy in an organization, It can lead to certain problems like Data Scientists being naive at their work. One of those instances is where Data Scientists chasing accuracies in their projects and in the process, forgetting or disregarding "Data Ethics". This combination of Data Ethics + ML Bias has become a global topic with ML Models and AI coming social context. This talk is for anyone who deals with Data in their organization to understand the happenings around ML Bias and how IML can help in it.