Mohammed Ba Salem Email & Phone Number

Toronto, On, Ca

Toronto, Ontario, Canada

Toronto, Ontario, Canada

Toronto, Ontario, Canada

Enterprise Data and Analytics (ED&A) - Consulting & Enablement Services

Palo Alto, California, United States - Remote

• Collaborated with a global team of 70 AI & Data Science experts to build AI statistical model to help governments and policymakers understand the effects of specific policy on economically marginalized vulnerable population• Built experimental framework to collect data from websites by the use of Python web scraping techniques (Beautiful Soup)• Developed an automated data pipeline (Scikit-learn, Pandas, Numpy) to perform consecutive data processes (Cleaning, Wrangling, Data Transformation) on collected data resulted in saving 8% of time spent query data • Highlighted existing fragile relationship between healthcare providers and at-risk population to assist policymakers with analytical capabilities that support decision making process • Used PCA K-Means clustering technique (Scikit-learn, Matplotlib, Seaborn) to identify common robustness of governmental policies amid COVID19 crisis for 34 countries. Accordingly, created statistical inference proposal (SciPy) to highlight effects of policy decisions on the economically marginalized vulnerable population

Toronto, Canada Area

• Studied extensive data science topics where most of courses are project oriented in order to reinforce the learning and to gain knowledge and experience in this field• Gained in depth understanding of type of data structure, data wrangling, data visualization• Obtained in depth knowledge and experience with supervised and unsupervised ML including regression, classification and clustering• Obtained understanding of how can Machine Learning and Deep Learning be applied in finance• Understood components of hadoop ecosystem• Data Science and analytics with python• Big data science with Pyspark & Scala on Databricks platform• Machine learning, text sentiment analysis, NLP, time series analysis, statistical analytics, hypothesis testing

Toronto, Canada Area

• Applied statistical analysis & machine learning algorithms on different data sets using Python• Developed deep learning algorithm including CNN, RNN & LSTM for classification and prediction using Keras, TensorFlow, Scikit-learn & SciPy

Toronto, Ontario, Canada

• Collaborated with Deloitte Canada to analyze current organizational structure and evaluated its suitability for the 21st century • Performed extensive research and qualitative metrics-based analysis to provide recommendations that minimize the impact of day-to-day organizational operations

Dhahran, Eastern, Saudi Arabia

• Assisted professors and instructors in grading assignments and projects according to school policy which resulted in meeting the transparency and fairness of the system • Led and taught undergrad students in tutorial classes and supported 80+ students with understanding complex problem • Walked students through and guided them for term projects and managed sprint reviews to track course and project progress

Saudi Arabia

• Generated reports involving analysis progress reports, failure or incident reports, and action reviews which highlighted areas of improvements and recommendations.•Trained on quality inspection plan, Engineering, Procurement & Construction Contractor, steam cycle, steam turbine & rotary equipment, firefighting system, pipe cleaning methods and chemical dosing system.•Worked on estimating energy consumption of HVAC systems for power plant control rooms by using MS Excel, EES and Chvac. • Analyzed heat gain and loss for different building materials over 12 months period using Excel and Python library for visualization (resulted in opportunity to save 12% of annual energy consumption)•Inspected equipment performance and its failure by exploratory analysis of equipment sensor data using python and excel.

Saudi Arabia

• Provided customer service such as answering their questions, resolving their issues and helping in selecting appropriate fittings which resulted in satisfaction of customer and preserving business reputation• Unloaded products, displayed, hung and folded clothes, and maintained safe environment

Master'S Degree, Mechanical Engineering

Specialization: 1. Emphasis in Data Analytics: • Introduction to Data Science & Analytics. • Engineering Assets Management • Big Data.

Mathmatical Finance And Data Science Certification Program, Data Science

Part 1: • Fundamentals of Statistics using R for practical data analysis. • Introduction to Quantitative Finance. • Python Programming. •.

Bachelor Of Science - Bs, Mechanical Engineering

Bachelor Of Science - Bs, Mechanical Engineering

Activities and Societies: Participate on the cultural day ceremony fall of 2015 I was an Exchange Student at University of Arizona.