Muhammad Khalid

Lead Data Scientist at Afiniti

Muhammad Khalid's work experience begins in 2011 with their role as an Alumni Coordinator for the Kennedy-Lugar Youth Exchange and Study Program. From 2012 to 2014, they also worked as a Columnist for FutureChallenges, representing and voicing future challenges affecting the youth of Pakistan. In 2015, they interned as a Power Grid Design Intern at Alpine Enterprises, and in 2016, they interned as an Intern - Transformer Production Manager and Designer at Elmetec Private Limited. In 2017, Muhammad started their self-employed career as a Private Financial Analyst until 2019. In 2020, they joined Afiniti as a Data Analyst and worked their way up to becoming a Lead Data Scientist in 2023.

Muhammad Khalid completed their Bachelor's degree in Electrical and Electronics Engineering from Bilkent University from 2013 to 2018. Prior to that, they completed their A-Levels in Pre-Engineering from Lahore Grammar School from 2011 to 2013, and their O-Levels in Pre-Engineering from the same institution from 2008 to 2011.

In 2022, Muhammad Khalid began pursuing a MicroMasters Program in Statistics and Data Science with a focus on Artificial Intelligence at the Massachusetts Institute of Technology, which they are expected to complete in 2023. Muhammad has also obtained several additional certifications, including "Fundamentals of Statistics: 18.6501x" and "Probability - The Science of Uncertainty and Data: 6.431x" from MIT in 2022, as well as "6.419x Data Analysis: Statistical Modeling and Computation in Applications" and "6.86x: Machine Learning with Python-From Linear Models to Deep Learning" from MIT in 2023. Additionally, they completed "Managing Technical Professionals" from LinkedIn in 2022, "R Programming - John Hopkins University" from Coursera in 2020, and "Introduction to Computer Science and Programming Using Python" from edX in 2016.

Links


Org chart

No direct reports

Teams


Offices

This person is not in any offices


Afiniti

14 followers

Afiniti transforms the way humans interact by applying artificial intelligence to discover, predict and affect patterns of interpersonal behavior.