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Syed Afaq Shah

@syedafaqshah

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Data analyst skilled in Power BI, Python, SQL and delivering actionable business insights.

Pakistan

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What I'm looking for

I seek a data role where I can build dashboards and predictive models, collaborate with cross-functional teams, and grow in a data-driven, collaborative environment.

I am a data analyst with hands-on experience in Power BI, Python, SQL and end-to-end data workflows, focused on turning complex data into actionable insights. I have completed internships and contract annotation work, built dashboards for HR diversity and customer churn, and developed predictive models for attrition, loan default, fraud detection, and disease diagnosis.

I hold a Google Data Analytics Professional Certificate and multiple Coursera specializations, and I am completing an MSc in Data Science. I bring strong analytical skills, attention to detail, and a collaborative mindset to help teams make data-driven decisions.

Experience

Work history, roles, and key accomplishments

Data Science Intern

DevelopersHub Corporation

Dec 2024 - Feb 2025 (2 months)

Conducted exploratory data analysis and built predictive models (Random Forest, Logistic Regression, Gradient Boosting) for employee attrition, loan default, and disease diagnosis; developed NLP pipelines for summarization and sentiment analysis and delivered documented Python workflows.

Python Random Forest Logistic Regression Gradient Boosting NLP Model Evaluation

Power BI Analyst

PwC Switzerland

Aug 2024 - Oct 2024 (2 months)

Completed a Power BI job simulation creating dashboards and KPIs to address client needs, analyzed gender-related HR data, identified root causes for balance issues, and presented data-driven recommendations to partners.

Power BI DAX Power Query Data Visualization Dashboard Design ETL KPIs

Data Annotator

Toloka.AI

Apr 2023 - Jun 2023 (2 months)

Performed precise labeling, categorizing, and verification of diverse datasets on the Toloka platform to support development of AI models and improve training data quality.

Data Annotation Quality Assurance Labeling Data Validation Attention To Detail Remote Collaboration