AYESHA SIDDIQUA

Academic

Career

Verbatim text

Linkedin Profile
AYESHA SIDDIQUA
a.siddiqua.24192@khi.iba.edu.pk
312/811-9961/0312-8119961
BSAF
CAREER OBJECTIVE
My career objective as a accounting and finance student is to secure an internship or entry-level position in a reputable financial
institution, applying my academic knowledge to real-world scenarios. I aspire to gain hands-on experience in financial analysis and
eventually ascend to a managerial role, driving organizational growth.
EDUCATION
DEGREE/PROGRAM YEAR OF GRADUATION
INSTITUTION
CGPA/PERCENTAGE
City
BSAF
June 2025
Institute of Business Administration, Karachi
3.85
A-Level
2021
Cedar college
3 A*
Karachi
o-level
2019
The Mama Parsi Girls' Secondary School, Karachi. , Karachi
8 A*, 1A
MAJORS
Accounting & Finance
INTERNSHIP/WORK EXPERIENCE(S)
DESIGNATION
NAME OF THE COMPANY
TENURE/DURATION
Audit Intern
KPMG Taseer Hadi & Co.
11 Jul 2023 - 21 Aug 2023
Conducted a detailed review of Dolmen City REIT's property management agreement, extracting and highlighting key points crucial for
the audit. Interacted with Dolmen Real Estate Management to extract pertinent data essential for financial statement audits.
Developed a data set for team members to compute their food allowances based on the dates spent at the client site.
Social Intern
MAKE A WISH FOUNDATION
30 May 2022 - 6 Jul 2022
Interacted with terminally ill children and their families to discover their last wishes to make them a reality and encapsulated their
stories into short write-ups. Raised around Rs. 20,000 in 2 days to assist the foundation in organizing wish events, i.e. fulfilling the
wishes. Streamlined the data entry process and prepared physical files to ensure organized and readily accessible information for
efficient operations at the foundation.
SKILLS AND COMPETENCIES
INTEREST AND HOBBIES
TERM PROJECT(S)/RESEARCH WORK(S)
Ittehad Chemicals – Financial Model: Developed a robust financial forecasting model utilizing regression analysis and trend analysis
techniques. Successfully forecasted five years' financial statements based on historical data, providing valuable insights for strategic
decision-making.
Spaceship Titanic – Foundation of Data Science: Applied data science techniques using KNIME software for a Kaggle competition.
Employed random forest and gradient booster algorithm to predict the target variable with an accuracy of 80.78%.