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shujahbutt

Shujah Butt

@shujahbutt

Freelance Data Analyst

Paquistão
Inglês, Urdu
Algumas informações são exibidas no idioma inglês.
Sobre mim
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!... Saiba mais

Habilidades

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shujahbutt
Shujah Butt
offline • 
Tempo médio de resposta: 1 hora

Conheça meus serviços

Análise de Marketing
I will do survey data analysis and questionnaire design
A partir deUS$ 25 /projetoMais detalhes
Modelagem e Análise Estatística
I will perform arima time series forecasting and modeling
A partir deUS$ 25 /projetoMais detalhes

Experiência profissional

Silverlight_Creative

Freelance Research Analyst

Silverlight Creative • Período integral

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.

Elevio

Machine Learning

Elevio • Período integral

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.