Open to opportunities

Abdul Razaq

@abdulrazaq2

Message

Junior Data Scientist skilled in Python, SQL, and machine learning for actionable analytics.

Pakistan

Message

What I'm looking for

I seek a collaborative role where I can apply and expand ML and analytics skills, work on impactful projects, and grow in AI and advanced analytics.

I am a detail-oriented Junior Data Scientist with a strong foundation in statistical modeling, machine learning, and data visualization. I have built and optimized predictive models, performed extensive EDA, and translated complex datasets into actionable insights using Python, SQL, R, Pandas, NumPy, Matplotlib, and Seaborn.

I have applied my skills in academic projects and internships, including a cybersecurity-focused vulnerability exploit prediction model (85% accuracy) and remote data science internships where I contributed to data cleaning, feature engineering, model building, dashboarding, and client-ready presentations. I am eager to grow in advanced analytics and AI applications while contributing technical expertise to collaborative teams.

Experience

Work history, roles, and key accomplishments

Junior Data Scientist

Developers Hub Corporation

May 2025 - Present (4 months)

Contributed to data-driven projects using Python and SQL to build predictive models, perform EDA, and deliver visualizations that informed business decisions and improved reporting accuracy.

Python SQL Pandas scikit learn Data Cleaning Data Visualization

Data Science Intern

Boston Consulting Group

Mar 2025 - Present (6 months)

Completed a BCG X virtual simulation applying market analysis, financial modeling, and data visualization to produce client-ready recommendations and strategic, data-driven insights.

Market Analysis Financial Modeling Excel Python Data Visualization Presentation

Machine Learning Project Lead

Personal Academic Project

Developed a cybersecurity ML model to predict software vulnerability exploits, achieving 85% accuracy using Random Forest and Logistic Regression and communicating findings via visualizations and GitHub.