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SYED M. SUFFWAN
Aspiration Statement
I am motivated to energize tech-based startups across the globe using data science techniques and deep learning frameworks. I plan to complete my graduation in data science & business analytics and utilize my skills in growth hacking.
Core Skills
- Python
- MySQL
- Data Analysis
- MS Office Suite
- Enhancing User Experience (WABA, One Signal, Firebase Analytics, Elastic Search, E-ocean & Redash)
Academic Awards / Achievements
- University of North Carolina at Charlotte - MSc | Data Science & Business Analytics
Experience
Leadership / Meta-curricular
- Habib Adventure Society - President
- Pinktober Carnival for Breast Cancer Awareness - Organized
- Pakistan's first Deaf & Mute Concert - Organized
Internship / Volunteer Work
- Sia Partners - Data Science Consultant Intern
- University of North Carolina at Charlotte - Graduate Research Assistant
- Retailo Technologies - Growth Trainee
- Afiniti - Project Trainee
- State Bank of Pakistan - Summer Intern
- Retailo Technologies - Digital Growth Lead
Final Year Project
Project Title
Deep PSX: Prediction and Simulation of KSE using Deep Learning, Sentimental and Technical Analysis
Description
Deep PSX is a prediction mechanism for investors, which can provide insights into the future. The aim of this project is to forecast stock prices of the Pakistan Stock Exchange using previous prices, latest news, and technical indicators, and generate buy/sell signals to help investors form a decision. This project is powered by cutting-edge Artificial Intelligence, running on state-of-the-art algorithms. Currently, this project promises an accuracy of almost 90% which makes it one of the best predictive methods. This project was done in association with AKD Securities, one of the leading brokerage firms in Pakistan.