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MUHAMMAD FURQAN KARIM
Aspiration Statement
“Dedicated data scientist and business development analyst with expertise in python and machine learning. My career aspiration is to become a part of a top executive management team in a big professional firm or a multi-national corporation. Other passions include reading, running, travelling, swimming, skiing and playing the violin. ”
Core Skills
- Python, MS Office, Excel, PowerPoint, SQL
- Advanced Data Mining and Analysis Skills
- Deep understanding of Machine Learning Models
- Good Communication and Writing Skills
- Object-Oriented Programming (OOP)
- Software Project Management
- Social Media Marketing
- Management Consulting
- Business Development
- Innovation Management
Academic Awards / Achievements
- Attended Summer Program 2018 at Stanford University, USA
- Dean’s List - Spring 2017
Experience
Leadership / Meta-curricular
- ACM Chapter at Habib University, Ex-Chair
- Code.Play, Ex-Chair
- Student Travel Grant Committee at Habib University - Core Committee Member
Internship / Volunteer Work
- Cofounder & COO - YPay Financial Services (Sep 2019 - Present)
- Analyst, Risk Advisory (Financial Institutions) - Deloitte (Jan 2020 - Jul 2020)
- Data Analyst Intern - Bank Al Habib Ltd.
- Teaching Assistant - Habib University
Publications / Creative Projects
- Built an “object classification model” for visually impaired people in a project for “Artificial Intelligence”. Successfully built “Loan Default Prediction Model” and “Customer Retention Model”· at Bank al Habib Ltd. Predicted the relevance of “URL” given “Query ID” in web searching in a project for “Data Mining and Analysis” course at Stanford University, USA.
Final Year Project
Project Title
State of Charge (SoC) Estimation of Lithium-ion Batteries Using Machine Learning
Description
As the dependence upon batteries increased significantly, reliance on battery management systems increased as well. These battery management systems, for quite a while, have been under research to have better prognostics and predictions. Our project is an important component of these battery management systems. Better SoC estimations lead to a better state of health estimations which in return lead to better estimation of the remaining useful lifetime of the batteries. (Group Project-Interdisciplinary)
Project Pictures
