Shujah Butt

Data Analyst

TechAbout • Temps plein

Jul 2026 - Present • 2 mos

Analyze and validate business data to generate actionable insights and support decision-making. Clean, transform, and prepare datasets using Python, SQL, and Excel for reporting and analysis. Build dashboards and reports to track KPIs and business performance. Collaborate with cross-functional teams to improve data quality, automate workflows, and optimize business processes. Apply statistical analysis and data visualisation techniques to communicate findings to technical and non-technical stakeholders. Currently working on one of their three projects, i.e., AITransform.com and Travel.PK, and TripOrganizer.com (not active)

Freelance Research Analyst

Silverlight Creative • Temps plein

Feb 2024 - Jan 2026 • 1 yr 11 mos

In my role as a Research Analyst at Silverlight Research Expert Network, I was responsible for conducting in-depth research across a variety of industries, including finance, healthcare, and technology. My work involved identifying and engaging with industry experts, gathering qualitative and quantitative data, and synthesizing this information into comprehensive reports for clients. I managed multiple research projects simultaneously, ensuring the delivery of high-quality, accurate, and timely insights to support clients' decision-making processes. My role required strong analytical skills, effective communication, and the ability to work independently in a remote environment while meeting tight deadlines.

Machine Learning

Elevio • Temps plein

Jun 2025 - Aug 2025 • 2 mos

Worked on real-world machine learning projects through a self-paced internship program focused on predictive modeling, clustering, recommendation systems, and classification. Gained hands-on experience with tools like Python, Pandas, Scikit-learn, and XGBoost. Completed and published 4 structured projects, including: Customer Segmentation using K-Means and DBSCAN Forest Cover Type Classification with Random Forest & XGBoost Loan Approval Prediction with Imbalanced Data Handling Sales Forecasting on Historical Walmart Sales dataset Final deliverables included GitHub-hosted code, visualizations, LinkedIn presentations, and a certificate of completion.