SYED M. ABDULLAH IQBAL

SYED M. ABDULLAH IQBAL

Class of 2021
BS Computer Science

Aspiration Statement

I want to pursue a postgraduate degree in data science and machine learning. My goal is to start my own data science solutions company. Apart from that, I am an active crypto trader and it is something that I want to grow in, in the near future.

Core Skills

  • Deep Learning
  • Natural Language Processing
  • Recurrent Neural Networks (RNN)
  • Selenium
  • Python
  • SQL
  • Data Science

Academic Awards / Achievements

  • Delegate HPAIR, Harvard University, Massachusetts, USA, in February 2020

Experience

Leadership / Meta-curricular

  • Exploratory Data Analysis in SQL - Certification by DataCamp

Internship / Volunteer Work

  • Afiniti - Data Scientist | Account Lead
  • AKD Securities Ltd. - Data Science Researcher
  • Arthur Lawrence - Talent Advocate
  • TCS Private Ltd. - Corporate Sales Intern
  • SIUT - Volunteer

Final Year Project

Project Title

DeepKSE

Description

AKD Securities Ltd. wants to extend their research in stock forecasting through artificial intelligence and data science. Data science and deep learning models are used globally to make predictions on stock market behaviours. This practice is still uncommon in Pakistan. This project uses a hybrid approach to create predictions, incorporating historical data, daily news analysis, and decision-making capabilities. The Efficient Market Hypothesis is tested on the Karachi Stock Exchange (KSE), to see if stock prices only move on new information, making prediction difficult, or if underlying patterns can be observed for forecasting. Unlike other countries, the Pakistani market is still reluctant to adopt new prediction strategies based on machine learning architecture models. Thus, this motivates AKD Securities Ltd. and our team to see whether data science techniques and machine learning models can predict trends in a volatile market like Pakistan.