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Shujah Butt
@shujahbutt
Freelance Data Analyst
Pakistan
Englisch, Urdu
Über mich
As a passionate Data Science & Analytics graduate, I specialize in converting complex datasets into meaningful business and policy insights. My recent project showcases my expertise in Python, data visualization, and affordability modeling.
Whether you need:
• Data cleaning & preparation (Excel, CSV, large datasets)
• Beautiful EDA reports and Seaborn/Matplotlib visualizations
• Predictive ML models (classification, clustering, forecasting)
• Education/market research analysis or business dashboards
Let’s turn your data into real results!
Kompetenzen
Shujah Butt
offline •
Durchschnittliche Antwortzeit: 1 Stunde
Meine Dienstleistungen
Marketing-Analysen
I will do survey data analysis and questionnaire design
Statistische Modellierung & Analyse
I will perform arima time series forecasting and modeling
Arbeitserfahrung
Freelance Research Analyst
Silverlight Creative • Vollzeit
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 • Vollzeit
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.
