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Reda Mastouri
Data Scientist with a passion for teaching and coaching.
| Data Analytics | Statistics | Machine Learning | Predictive Modeling | Data Visualization | NLP |
Network Analytics | Network Security | Software Engineering | Ethical Hacking |
Versitile Information Technology Professional and Research Scholar with 9 years experience in
teaching, tutoring and mentoring, and training college level students. Additional hands-on experience
in the implementation, administration, support and troubleshooting of networked LANs/WLANs.
Strong organization and critical thinking skills, and proven ability to multi-task. .
Industry Experience
Solution Architect, Pre-Sales
FD
Carteret, NJ
Current - 2019
- Build machine learning models to detect application fraud and transaction anomalies in insurance businesses.
- Manage ETL pipelines to enable automated work-flows for Auto-ML models to forecast Jira ticketing volumes.
- Develop software tools to track the estimates for pre-sales proposals and MVPs in production
- Participate in and conduct technical assessments and requirements gathering sessions with customers that want to migrate their IT systems.
- Collaborate with internal and external parties to transform high-level technical objectives into comprehensive technical requirements.
- Create all the required architecture documentation and diagrams and create a Technical Data Package for the customer's IT system.
- Assist with identifying and planning potential new managed services, features, and capabilities for ore than 100+ of Fortune 500 firms.
- Make recommendations for improvements to security, scalability, manageability, and performance across a wide variety of network, storage, and compute technologies.
- Contributing to the ongoing automation efforts of the FulcrumOne R&D Labs.
Support Specialist, Ops Tech IT
Amazon
Seattle, WA
2020 - 2017
- Ensure 70% End-user/client computer support.
- Provide a 1st / 2nd line support service that ensures that the site infrastructure is running to its optimum performance and that all departmental Key Performance Indicators (KPIs) and Service Level Agreements (SLAs) are met on a daily basis.
- Participate in the development, implementation and administration of processes and procedures to ensure the reliability, recoverability, and optimum performance of user hardware and local services.
Education
PhD in Decision Networks & Artificial Intelligence
Smart Systems Labs, ENSIAS, Med V University
Rabat, Morocco
Current - 2021
- Research in the areas of modeling design, development, and implementation, as well as in the performance analysis of mobile intelligent digital systems, routing protocol, Smart Grid, Antennas, IoT, and artificial intelligence.
Executive MBA
Quantic School of Business and Technology
Washington, DC
2021
- General Business, Management, Strategic Thinking, Entrepreneurship, Blockchain, and Leadership.
M.S. in Data Science
Saint Peter's University
Jersey City, NJ
2021
- GPA: 3.95 “Passed with Distinction”
- Dissertation “Developing a JetTracker SaaS to serve as Airport Demand Analyzer”
- Capstone Project “Examination of Digital Community Conversations Within Specific Disease States Via Reddit”
B.S. in Computer Sciences
New Jersey Institute of Technology
Newark, NJ
2020
- C/C++ Data structures & algorithms, object-oriented design and programming
B.A. in Mathematics
Rutgers University
Newark, NJ
2019
• Awarded the Rutgers University–Newark Talent and Opportunity Program (RU-N to the TOP) Full Scholarship • Scarlet Promise Grant
• Fall’16, Spring’17, Fall’17, Spring’18, Fall’18, Spring’19, Fall’19, Spring’20
Selected Code Repositories
PatientCom - Smart Reddit Data-Driven App
Saint Peter's University
Jersey City, NJ
2021
- Development of a repeatable process for the analysis of Reddit conversations within specific condition and/or disease state with applicable threads and subreddit threads (subreddits) to potentially inform strategy and content development. Create a simplified and repeatable process that does not require the users to be fluent in Reddit.
Optimal Transport - Stochastic Gradient Descent-Based Financial Models (SGDBF)
New York University
New York, NY
2021
- Development of a repeatable process for the analysis of Reddit conversations within specific condition and/or disease state with applicable threads and subreddit threads (subreddits) to potentially inform strategy and content development. Create a simplified and repeatable process that does not require the users to be fluent in Reddit.
In my free time, I enjoy working with friends, peers, and colleagues on algorithm designs/implementations. Recently, we built data frame and decision tree classes in C++.
Teaching Experience
I am passionate about teaching and helping others. It brings me joy and satisfication to teach others new skills.
STEM and Business Tutor
Hudson County Community College
Remote
Current - 2017
- TA and lecture
- Topics include introduction to databases, mySQL, and R
- Polish student’s performance to become independent learners.
- Develop comprehensive lesson plans that accommodate specific level of learners.
- Boost accuracy by refining test-taking strategies and methods.
- Accelerate problem solving by teaching reliable shortcuts.
Math, Business and Sciences Peer Educator
Rutgers University
Newark, NJ
2020 - 2018
- TA and lecture
- Topics include simple and multiple regression, logistic regression, hypothesis testing, variable transformations.
- Assist students in acquiring a better understanding in Numerical Analysis, Differential Equations, Calculus I, II and Calculus III, Intensive Programming and Data Structure.
- Help students develop study skills and techniques to help improve their academic performance.
- Coordinate with multiple students creating a well - rounded and engaging environment.
- Specialized as an individual tutor by simplifying math concepts while coaching students to think critically to solve problems.
- Conduct comprehensive test review sessions which contributes to an increase of more than 25 percent in some students' grades.
- Assist students in acquiring better understanding of targeted weak areas within a subject or a subject as a whole.
- Write individual tutoring plans in accordance to the individual needs of students.
Mathematics and Programming Languages Tutor
Varsity Tutors / Studygate
Remote
Current - 2016
- TA
- Topics include a survey of machine learning algorithms: kNN, support vector machine, decision tree, random forest, boosted trees, and clustering algorithms.
- Raised test scores by more than 10% by tutoring Math and other subjects such as Programming, Networking, French, Calculus [I, II, III], Differential Equation, Linear Algebra, Research & Analytics.