Hi! I'm 2 years experienced Machine Learning Engineer and Data Science Trainer ready to work for you in an efficient way with strong Data Science and Machine learning background.
My Core Skills are:
Machine learning - Classification, Regression, Association Rule Mining, Clustering & Dimensionality Reduction, Natural Language Processing, TensorFlow, Reinforcement learning, Reward-Based Models.
Languages: Python, R, KNIME
Working on several projects related to Artificial Intelligence
Instructor (Data Science and Machine Learning)
Feb 2020 - Present
Client: "World Health Organization"
Team: Molecular Virology Sequencing
Enables participants to learn machine learning in python.
Machine Learning Engineer
Jan 2020 - Present
Working on the project of "World Bank" as a ML Engineer on NLP.
Masters in Data Science
Stanford University, United States 2020 - 2022
BS Computer Sciences
International Islamic University, Pakistan 2016 - 2020
Best Data-Scientist (YEAR-2021)
Identifying relevant data sources for business needs.
Collecting structured and unstructured data.
Sourcing missing data.
Organising data in to usable formats.
Building predictive models.
Building machine learning algorithms.
Enhancing the data collection process.
Data Science and Machine Learning
Know how to work by using any library in python
Microsoft Office Specialist Master Certification (MOS)
The premier credential is chosen by individuals seeking to validate their skills and advance their careers. Microsoft Office is a powerful service designed to unleash the best ideas, get things done, and stay connected on the go
Artificial Life Stimulation
Ahmad Raza Khan
This is all possible by applying Reinforcement Learning algorithms to each entity, such as DQN and PPO.The general principle is simple, each entity starts by randomly executing some actions and will slowly learn, based on specific rewards, whether those actions helped or not. The entity is punished if the action is poor and rewarded if it was helpful.
It is then up to the entities to find a way to survive as long as possible while also making sure their kin is in good shape as possible.
Loan Prediction using Machine learning
Ahmad R khan
“Prediction” refers to the output of an algorithm SVM after it has been trained on a historical dataset of the particular Bank and applied to new data that is coming when forecasting the likelihood of a particular outcome, such as whether or not a customer is feasible to get a loan or not.
Malware Detection Through Deep Learning
Ahmad R Khan
The product makes it capable of detecting stealthy malware other engines would miss. It's also more scalable.