About
Aspiring Data Analyst and Engineer with a strong foundation in AI and machine learning. Skilled in using Python, SQL, and Power BI to analyze data and build automated workflows. Passionate about transforming complex datasets into clear, actionable insights. Eager to start my career, solve real-world data challenges, and grow within a collaborative, fast-paced team.
Skills & Expertise (19)
Work Experience
Data Engineer
Formula 1 Data Pipeline
Present - Present
Architected a scalable ETL data pipeline using Azure Databricks and PySpark to ingest, transform, and analyze decades of historical Formula 1 racing datasets. Implemented a Medallion architecture (Bronze, Silver, Gold layers) utilizing Delta Lake to ensure data quality, ACID compliance, and optimized downstream querying. Automated complex data transformations to generate high-performance business insights regarding race results, driver standings, and constructor metrics.
Data Analyst
HealthData IQ Hospital Insights
Present - Present
Engineered an end-to-end data analytics workflow using Python to extract and evaluate U.S. hospital performance, patient satisfaction, and mortality from complex CMS datasets. Developed scalable data cleaning pipelines to improve analytical rigor and ensure high data quality for evidence-based research outputs. Built interactive HTML dashboards delivering actionable, decision-support materials to identify key operational and regional healthcare accessibility patterns.
Competitive Intelligence Developer
OTT Insights Hub
Present - Present
Led the development of a competitive intelligence platform, leveraging BeautifulSoup and SQL to capture and analyze structured and unstructured streaming catalog data. Partnered technical execution with business strategy to model content trends, pricing movements, and predict engagement and churn risk.
Education
Bachelor of Engineering in Artificial Intelligence and Machine Learning - Universal College of Engineering
2021 - 2025 · Afghanistan
Certifications
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Skills (19)
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