My teaching method comprises of active learning. I keep my students engaged rather than them having to listen to me talking. After I have explained the key concepts, I usually have a set of problems ready for them to practice.
I was Teaching Assistant for 3 years and I taught 100+ students in a given year. During my role, I was also asked to conduct workshop sessions for students with class size varying from 50-70 students. Most of my students liked my teaching style which is why they preferred booking one-on-one sessions with me for help. They reported that they understood the concepts better and were happy to get good grades.
PROFI LE Experienced individual with a demonstrated history of working in the higher education industry. Skilled in Negotiation, Budgeting, Financial Management, Analytical Skills, and Teamwork. Strong support professional with a Master of Science - MS focused in Business Analytics: Operations Research and Risk Analysis from The University of Manchester and a Bachelor of Science - BS in Business Administration (Finance) with a minor in Ethics from Carnegie Mellon University. Looking to exercise analytical skill set in an environment of handling big data. Experienced in MS Office, SAS, SPSS and Python.
Sep 2017 – Present The University of Manchester, Master of Science in Business
Analytics: Operational Research and Risk Analysis
Aug 2011 – May 2015 Carnegie Mellon University, Bachelor of Science in Business
T E C H N I C A L S K I LL S
Experienced in MS Excel and VBA to develop simulation models
Thorough understanding of IBM SPSS to conduct statistical analysis and recommendations for business decisions
Skilled in SAS for predictive modelling using Decision Trees, Neural Networks, Applied Clustering Techniques, Text Mining and Sentiment Analysis and Big Data and Visual Analytics Adept in programming with Python for business analytics related situations
In-depth understanding of Machine Learning techniques, Belief Rule Based systems and Evidential Reasoning
S K I LL S Data Analysis and Interpretation
Professional Writing Teamwork & Leadership
Quantitative and Qualitative Reasoning
Strong Communication and Presentation
Effective Time Management
Jun 2018 – Present Investigation into Fraud Detection Methods and Tools in
The Dissertation involves building a model for automatically detecting fraudulent activities in insurance claims (primarily) and other financial transactions using Machine Learning and Artificial Intelligence techniques. The research primarily focuses on using Evidential Reasoning and Belief Rule Based systems in order to develop a model for fraud detection.
Jun 2015 – Aug 2017 Development Coordinator (International Programs), Office of
International Education, Carnegie Mellon University
Organized programs and events for international students at CMU-Q and facilitated meaningful discussions
Developed and managed annual budgets for the Division of Student Affairs as well as for the Office of International Education
Prepared financial reports and conducted revenue management presentations on a quarterly basis Conducted administrative management such as program, communication and application management
Worked with immigration officials to process and obtain student visas, exit permits and resident permits
Served as a housing liaison and coordinated housing requests with HBKU student housing Coordinated campus exchange and study abroad programs for students participating in exchange Helped students in developing financial plans for campus exchange/study abroad programs Facilitated transitions for international students in areas of housing, immigration, orientation and funding
Sep 2014 – May 2015 Editor in Chief, Smart Lab Financial Newsletter, Carnegie
Conducted analysis of regional financial market to provide basis for market performance Studied price movements of Oil and Gas industry, obtained data and conducted research Prepared and provided recommendations of market performance
Analyzed and critiqued reasons for the (then) movement in oil prices
Successfully used financial resources such as Bloomberg, Eikon and Zaawya to gain insight and understanding about mechanisms of financial markets
Jun 2014 – Apr 2015 Research Assistant, Qatar Foundation
Conducted research and analysis for Qatari stocks to arrive at investment criteria suitable for the region
Gained thorough insight into using Bloomberg to obtain and classify financial information Developed and tested risk measurement criteria for local stocks for long term investment Gathered fundamental data of Qatari stocks and arrived at fundamental risk measures
Built a working model to predict returns for individual stocks and co-authored the results into an academic paper and poster for a research symposium
Aug 2012 – Apr 2015 Undergraduate Teaching Assistant (Calculus, Accounting and Finance), Qatar Foundation
Assisted students with course concepts and cases to develop analytical and quantitative skills Organized and led preparatory workshops with fellow CAs to facilitate better understanding of course concepts
Evaluated assignments and provided feedback leading to improvement in students’ performances Communicated with and provided opinions on course content to course instructors on a regular basis.
Jan 2015 – May 2015 Corporate Social Responsibility (CSR) Consultant, Vodafone
Worked with head of CSR at Vodafone to evaluate Vodafone’s sustainable strategy
Prepared a strategic plan and recommended further improvement in current sustainable strategy methods
Assisted in forecasting budget for recommended strategic plan
Conducted a thorough competitive analysis to assist Vodafone’s positioning in the market
May 2013 – Jul 2013 Corporate Banking Intern, Doha Bank
Assisted in opening bank accounts for personal business and gathered information Consolidated account holder forms and facilitating timely updating of bank records Communicated with clients and secured information about current and prospective clients Prepared Letters of Credit (LCs) to facilitate timely completion of trade finance transactions Coordinated meetings with other interns in order to motivate and maintain productivity
Sep 2017 – Feb 2018 Mathematical Programming Optimisation
Sep 2017 – Jan 2018 Decisions Behaviour, Analysis and Support
Sep 2017 – Jan 2018 IS Strategy and Enterprise System
Sep 2017 – Jan 2018 Applied Statistics and Business Forecasting Feb 2018 – Jun 2018 Data Analytics for Business Decision Making Feb 2018 – Jun 2018 Simulation and Risk Analysis
Feb 2018 – Jun 2018 Programming in Python
Feb 2018 – Jun 2018 Risk, Performance and Decision Analysis
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