Asad Aslam

A passionate data scientist, based in United Kingdom, with a Master's degree in data science and over 4 years of professional experience in data science and software engineering. Proficient in Python, R, C++, SQL, API and machine learning framework such as PyTorch to build predictive models and deliver actionable insights. Skilled in data visualization with Power BI and Tableau to support decision-making.

University of Catania.

Data Science Intern

June 2024 – Sept 2024

• Data cleaning and interpolation from different sensors using python, reducing manual cleaning by 20% • Implemented ML models to identify key factors influencing riding dynamics & the cyclist's response to varying route conditions. • Feature selection using Python, improving model training accuracy by 12% • Applied XAI technique SHAP for feature importance to enhance model explainability. • Communicate convincingly with project head for creating dashboards using Power BI

TPS Worldwide

Lead Application Developer

Jan 2022 – Sept 2022

• Developed software solutions using C++, Oracle and REST API, enhancing system functionality. • Code optimization using C++ & API, reducing transaction processing time by 5%. • Supervised and mentored team, contributing to a 20% increase in productivity. • CI/CD to speed up and streamline the software development process.

TPS Worldwide

Senior Software Engineer

Jan 2021 – Dec 2021

• Developed fintech projects using C++, Oracle and TCP/IP, enhancing system functionality. • Code optimization using C++ & TCP/IP, reducing transaction processing time by 0.5%. • CI/CD to speed up and streamline the software development process.

TPS Worldwide

Software Engineer

Sept 2019 – Dec 2020

• Implemented chip data usage protocols, using C++ to improve transaction security & compliance in banking systems. • Gained expertise in issuing & acquiring processes, utilizing message formats for communication between banking entities.

TPS Worldwide

Associate Software Engineer

Mar 2019 – Aug 2019

• Resolved critical bugs in C++ and SQL, improving performance through troubleshooting and debugging. • Developed and enhanced the Client Request, improving request handling efficiency.

University of Catania

Oct 2022 – Sept 2024

Masters of Sciences in Data Sciences Passed with 105/110 or Distinction (1:1)

SZABIST

Aug 2014 – Jun 2018

Bachelors of Sciences in Computer Sciences Passed with 3.06/4.0