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Mohamed Mosaed

@mohamedmosaed

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I build AI-enabled analytics, predictive models, and BI dashboards that turn complex data into business decisions.

United States

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What I'm looking for

I'm looking to apply AI-enabled analytics, machine learning, and business intelligence to complex data challenges, delivering predictive insights, reliable reporting, and decision-ready dashboards.

At AXA XL, I build SQL pipelines across 50M+ underwriting, claims, and financial records, reducing data preparation time by 40% and improving reporting reliability. I also develop predictive risk models that improved risk-scoring accuracy by 15%.

I create Power BI and R Shiny dashboards for 100+ users, translating underwriting data into actionable KPIs and reducing manual reporting effort by 35%. I built a RAG analytics assistant across 500+ business documents that reduced information retrieval time by 40%.

Previously, I delivered Tableau and Power BI solutions at KPMG across 10+ client engagements and applied machine learning to improve prediction accuracy by up to 20%. At UMass Chan Medical School and McKesson, I analyzed clinical data, built research dashboards, and developed ETL pipelines for millions of healthcare records.

I'm continuing my applied data science education while bringing hands-on experience across insurance, healthcare, and financial services. My work combines SQL, Python, machine learning, generative AI, and business intelligence to make complex information useful.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Analyst

Current

AXA XL

Sep 2023 - Present (3 years)

Developed complex SQL pipelines integrating 50M+ underwriting, claims, and financial records, reducing data preparation time by 40%. Built predictive risk models and Power BI/R Shiny dashboards, improving risk-scoring accuracy by 15% and reducing manual reporting effort by 35%.

RAG Embeddings Data Pipelines predictive modeling Risk Scoring Dashboarding SQL Python scikit learn Power BI R Shiny Lang Chain OpenAI API BERT

Data Analyst

UMass Chan Medical School

Jun 2023 - Sep 2023 (3 months)

Analyzed and transformed 500K+ patient records using Python and statistical methods, improving data quality and supporting translational medicine research. Built Power BI and Plotly dashboards to monitor 1,000+ patients and communicate findings to clinical stakeholders.

Python Statistical Analysis Classification Survival Analysis Multivariate Statistical Methods Power BI Plotly Matplotlib SeaBorn Data Visualization

Data Analyst

KPMG

Jan 2022 - Jun 2023 (1 year 5 months)

Delivered Tableau and Power BI analytics solutions across 10+ client engagements, reducing reporting effort by 30% and improving executive visibility. Applied Python and machine-learning techniques to client use cases, improving prediction accuracy by up to 20%.

Tableau Power BI Python Machine Learning Classification regression Clustering NLTK SpaCy Text Analytics

Data Analyst

McKesson

Mar 2020 - Dec 2021 (1 year 9 months)

Performed SQL- and Python-based profiling, cleansing, and quality assessment on large clinical and operational datasets. Built ETL pipelines processing millions of healthcare records, reducing data preparation time by 35%.

SQL Python ETL Pipelines Data Profiling Data Cleaning Data Quality Healthcare Data