Ali Muhammad

• Working with team of software engineers to maintain cloud infrastructure. • Maintaining data storage and analytics platform with telecom data. • Working with resources created on demand using Amazon Web Services EMR and S3. • Optimizing cost through a mixed of reserved, spot and on-demand instances, EC2 instance types. • Analyzing and Debugging EMR clusters by investigating CloudWatch log insights. • Scheduling and monitoring clusters on CloudWatch for weekly processing. • Using Zeppelin notebooks to main

• Data preparation and analysis while Commissioning of TURTLEBOT3 Burger and TURTLEBOT3 Waffle bots • Literature research for getting the robot ready for further Machine Learning algorithms. • Implementation and comparison of demos in Python for the bots

• Pre-processed data for various projects using NumPy and Pandas in Python. • Used Data Mining techniques with Scikit Learn to take part in Kaggle competition. • Assisted in the research and development of Natural Language Processing project. • Collected data by scrapping videos using BeautifulSoup and Scrappy in Python • Used Image Processing techniques with Python to identify and extract text from images. • Trained and Tested different Convolutional Neural Network using TensorFlow and Keras to overcome

THESIS: Reducing Data Uncertainty in event logs of Process mining Data using frequent item sets and Apriori Algorithm (ONGOING) CORE COURSES: • Introduction To Data Science • Mathematics of Data Science • Mathematical Foundation of Machine Learning (Ongoing) • Machine Learning • Pattern Matching

SPECIALIZATION: Data science / Machine Learning CORE COURSES: • Data Mining • Deep learning and perceptron • Distributed Data Engineering • Artificial intelligence.