Saarah Rasheed
Professional Highlight
Fresh graduate of BS Computational Finance from NEDUET, with proven skills of selfinitiation, resourcefulness and determination, with an interest in financial
engineering, data analysis, data sciences, machine learning, investments and mutual
funds.
Contact Information
Objective
Phone: -
Email:-Address: R-885, Block 17, F. B. Area,
Karachi, 75950.
To work for a dynamic company that involves professional challenges and is appreciative of hard work and integrity in carrying out responsibilities.
Education
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BS - Computational Finance
From: NED University of
Engineering and Technology
Year of passing: 2017 (Fall)
Intermediate
From: Khatoon-e-Pakistan Govt.
Degree College
Year of passing: 2013 (Spring)
Matriculation
From: Happy Palace Grammar
School
Year of passing: 2011 (Spring)
Work Experience
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Programming Languages
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R Language
Python (NumPy, Pandas)
Acknowledgement of C & SQL
Software
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RStudio
MS Excel
Jupyter Notebook, PyCharm
MATLAB
EViews
Familiar with Minitab
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Projects and Achievements
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Soft Skills
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Self-Initiative
Problem Solving
Analytical Skills
Leadership Skills
Entrepreneurial Thinking
Determined
Team Builder
Resourceful
Matrix Systems ltd
Quantitative Analyst
December, 2017 — Present
Building and modifying financial risk models from mathematical expressions to
pythonic code.
Nexus Corporation
Research Analyst
October, 2017— December, 2017
Preparing reports and documentations for clients pertaining to areas of
finance.
Database Team, Department of Mathematics, NEDUET
Research Team Member
July, 2017 – October, 2017
Working as a member of research group touching areas of data analysis, capital
markets and algorithmic trading
KASB Modaraba (Islamic Financial Institute)
Internee
May, 2016 — June, 2016
Interned in Credit Assurance Department (Takaful Documentation) and Liability
Management Department (Spreadsheets).
Quants Society
President/Founder
March, 2016 — July, 2017
A departmental society for the students of Computational Finance, NEDUET.
Guest Speaker
Topic and Platform: AI in Quantitative Finance for Karachi.AI Meetup # 2
Portfolio Selection and Optimization
Platform: RStudio (Packages: fPortfolio)
Data: Pakistan Stock Exchange Prices- from Thomson Reuters
Bitcoin Trading Algorithm
Platform: Jupyter Notebook (Python Libraries: Pandas, Numpy)
Data: Bitcoin Trading Data acquired from Kaggle
Certifications and Workshops Attended
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Institute of Business Administration (IBA) - Entrepreneurship for Engineers
Deep Learning and Neural Networks – Andrew Ng (Coursera)
Habib University - Data Science and Machine Learning Workshop
Microsoft – MS Excel Specialist 2013
Microsoft - Agile Project Management
Karachi Civic Innovation Lab – Smart City Hackathon (Top 15 Ideas)
Financial Education - Learning to Invest in Stock Exchange
