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Shujah Butt
@shujahbutt
Freelance Data Analyst
Pakistan
Inglese, Urdu
Chi sono
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!
Competenze
Shujah Butt
offline •
Tempo di risposta medio: 1 ora
Consulta i miei servizi
Analisi di marketing
I will do survey data analysis and questionnaire design
Modello statistico e analisi
I will perform arima time series forecasting and modeling
Esperienza lavorativa
Freelance Research Analyst
Silverlight Creative • Full time
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 • Full time
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.
