Technical Project Management
Resume:
Monette Khadr
AI Services Driver
Ballston Spa
*******.*****@*****.***
linkedin.com/in/monette-khadr-ph-d-
capm%C2%AE-
csm%C2%AE-918527a8
Results-driven AI professional with a blend of analytical skills, research expertise, and technical project management. Proficient in developing and deploying AI models and applications, ensuring quality and timely delivery. Experienced in research, experiment design, and predictive modeling to enhance decision-making. Strong programming skills enable efficient data manipulation and analysis. Effective communicator, translating technical findings into actionable recommendations. Committed to leveraging AI advancements and emerging technologies to drive innovation and organizational success.
WORK EXPERIENCE
Maverick Quantum (mavQ Inc.) • Albany, New York •
01/2022 - Present
mavQ is an AI company that offers a low-code AI platform enabling organizations to quickly build cohesive and user-friendly applications that digitally transform while creating valuable insights. mavQ also offers a variety of AI enabled products in addition to various professional services for full stack development and AI services.
Senior Project Lead • Full-time
Technical Project Manager/Business Analyst • Full-time SKILLS
Software Development
Project Management
Research Topics
Drove a 75% reduction in application processing time by orchestrating the successful implementation of a new public service platform, significantly improving project efficiency and timeliness.
•
Delivered a $2.5M project to enhance a client's ITSM solution, resulting in a 35% increase in client satisfaction and a 20% reduction in service desk response time, boosting operational efficiency and customer loyalty.
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Partnered with product managers to define project scope, objectives, and deliverables, ensuring a 30% boost in project effectiveness and direct alignment with business goals
•
Diligently oversaw project progress, identifying and addressing 8 risks, issues, and scope changes, resulting in 36% improvement in project outcomes.
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Delivered 7 complex technical projects with a team of 25, resulting in a 25% increase in efficiency and a 15% decrease in project timelines, positively impacting business operations and client satisfaction.
•
Programming Languages:
Python, C++, MATLAB, BASH
•
Model Deployment: Docker,
Kubernetes
•
Data Visualization: Matplotlib,
Seaborn
•
Version Control: Git, GitLab,
GitHub
•
• TeX Programming Language
Data Preprocessing and Feature
Engineering
•
Machine Learning Frameworks:
TensorFlow, PyTorch, scikit-learn
•
Agile Methodogies (Scrum,
Kanban)
•
• Risk Management
Budgeting and Resource
Allocation
•
• Team Leadership
• Quality Assurance
• Vendor Management
• Process Improvement
• Stakeholder Communication
• Governance
• Portfolio
• Product Development
• Demos
• Collaboration
• Forecasting
• Wireless Communications
University At Albany • USA • 08/2017 - 12/2021
Research And Graduate Teaching Assistant
CERTIFICATIONS
CAPM • 07/2023 - 07/2026
PMI
CSM • 06/2024 - 06/2026
Scrum Alliance
VOLUNTEERING & LEADERSHIP
ACM-W at UAlbany
Vice President
PUBLICATIONS
Available upon request
Tools
Teaching/Coursework
EDUCATION
Doctorate Of Philosophy In
Electrical And Computer
Engineering
University At Albany
USA
GPA: 3.8
12/2021
Master Of Science In
Electronics And
Communication Engineering
Arab Academy for Science,
Technology and Maritime
Transport (AASTMT)
GPA: 3.9
12/2016
Developed comprehensive project plans, including timelines, budgets, and resource allocation, using tools such as Microsoft Project and JIRA and maintained meticulous documentation, including project charters, requirements specifications, and post-project reports.
•
Improved project execution by implementing Agile methodologies, resulting in a 24% increase in team productivity and on-time delivery of projects, leading to increased client satisfaction.
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Coordinated knowledge sharing sessions, resulting in a 40% increase in team skills proficiency and a 15% decrease in project implementation time, ultimately enhancing project delivery.
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Conducted multi-disciplinary research in areas that include machine learning (ML) based wireless networks, Internet-of-Things (IoT), network security, cognitive radio (CR), and optical wireless communications.
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Utilized deep learning frameworks such as TensorFlow and PyTorch to develop neural network architectures for optimizing optical wireless communication systems.
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Supervised master's degree and undergraduate students ; two of which won the Presidential Research Award at UAlbany.
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Presented research results in 9 flag conferences, published 5 journal articles in prominent journals, and co-authored a book chapter in Green Communications for Energy-Efficient Wireless Systems and Networks.
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Assisted in the preparation of research grant proposals and ethical review applications.
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• IoT
• Machine Learning
• Optical Communications
• Communciation Networks
• Physical Layer Security
• Data Analytics
• Visual Studio Code
• Jira
• Google Workspace
• Slack
• Salesforce
• Confluence
• Microsoft Office
• Power BI
• Tableau
• Electronic Circuits
• Digital Signal Processing
• Signals and Systems
• Solid State Physics
• Statistics and Mathematics
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